From 48e40cff9c3875edbdc2b4c3531b0f1a9bd20cd5 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Raul=20C=2E=20S=C3=AEmpetru?= Date: Tue, 23 Jun 2026 08:25:41 +0300 Subject: [PATCH 01/60] docs: add pufferlib-inspired API redesign proposal Design proposal for a backend-swappable, vectorized MyoGen API: a shared flat SimState buffer stepped in lockstep by a backend-agnostic driver, with two backend seams (neural dynamics NEURON->jaxley; muscle/force analytic->FEM) and a closed-loop stage graph for afferent feedback. Buffer-first data model with neo/NWB as opt-in adapters. Maps the full current public surface onto the new layers and lists net-new work and open questions for team review. --- ...026-06-23-pufferlib-inspired-api-design.md | 214 ++++++++++++++++++ 1 file changed, 214 insertions(+) create mode 100644 docs/superpowers/specs/2026-06-23-pufferlib-inspired-api-design.md diff --git a/docs/superpowers/specs/2026-06-23-pufferlib-inspired-api-design.md b/docs/superpowers/specs/2026-06-23-pufferlib-inspired-api-design.md new file mode 100644 index 00000000..3c62f1fa --- /dev/null +++ b/docs/superpowers/specs/2026-06-23-pufferlib-inspired-api-design.md @@ -0,0 +1,214 @@ +# MyoGen API Redesign — a pufferlib-inspired, backend-swappable architecture + +**Status:** Design proposal (for team alignment — Ricardo, Devon). No implementation yet. +**Branch:** `feat/puffer-api` +**Date:** 2026-06-23 + +--- + +## 1. Goal + +Replace MyoGen's current NEURON-hardwired API with a clean, **backend-swappable, vectorized** API in the spirit of [PufferLib](https://github.com/PufferAI/PufferLib). The new API becomes *the* API (clean break; the current `simulator.AlphaMN__Pool` / `SurfaceEMG` surface is deprecated and removed over a transition window). + +Two concrete future integrations drive the design and must "just slot in": + +- **jaxley replaces NEURON** as the neural-dynamics engine (JAX, GPU, `vmap`/`jit`, differentiable). +- **An FEM muscle model (Devon)** upgrades the muscle/force/volume-conductor stage. + +These are **two distinct backend seams in different pipeline stages** — the architecture must support both without leaking either backend into the public API. + +## 2. What we are borrowing from pufferlib (and what we are not) + +Studied from the pufferlib 3.x source and Codex-verified. Transferable ideas: + +1. **A flat, contiguous buffer is the interface, not objects.** Stages write results *in place* into shared arrays; consumers get zero-copy views. (pufferlib `src/vecenv.h` `StaticVec`; `torch_pufferl.py` zero-copy tensor wrapping.) +2. **One uniform driver over a thin surface.** A single `Simulation` object owns the time loop; everything else is small and uniform. (pufferlib `make()` + uniform `step()`.) +3. **Config-as-data.** Reproducible, diffable, sweepable experiment specs. (pufferlib INI configs merged at load.) +4. **A backend escalation path behind a fixed interface** — the API does not change when the engine does. + +**Not** borrowing (RL-specific or made unnecessary by JAX): hand-rolled OMP busy-wait threading, CUDA graphs, bf16 obs, the `reset()/step(action)` RL env framing. jaxley/XLA give us GPU vectorization and fusion "for free"; we keep the *lessons* (batch, don't allocate per step, overlap) without the bespoke C runtime. + +> Correction folded in from verification: pufferlib's bf16 is a *network* default, not a uniform observation dtype; and MyoGen's current force path is dense-convert + per-MU JIT loops, **not** sparse matmul. Neither changes this design. + +## 3. Architecture — seven layers + +The system is **not** a feed-forward chain. It is a closed loop (afferent feedback through the biomechanics) expressed as a stage graph stepped in lockstep over one shared buffer. + +``` +┌─ 7. Conveniences ──────────────────────────────────────────────┐ +│ make() one-liner · Spec/TOML config │ +├─ 6. Data & IO ─────────────────────────────────────────────────┤ +│ buffer⇄Neo/quantities adapters · grid annotations │ +│ persistence: ContinuousSaver, chunked save, NWB export │ +├─ 5. Specs (config-as-data, units at the boundary) ─────────────┤ +│ RecruitmentThresholds(4 modes) · Drive/Stimuli(ramp…trapezoid)│ +│ Connectivity · ElectrodeArray(surface/intramuscular) │ +├─ 4. Stage graph (closed loop over shared buffer) ──────────────┤ +│ Network → Muscle → Joint → Afferents ↺ + SurfaceEMG/iEMG │ +│ seam#1 NEURON│jaxley seam#2 analytic│Hill│FEM │ +├─ 3. Core ──────────────────────────────────────────────────────┤ +│ SimState buffer (plain SI float arrays) · Simulation driver │ +│ · Stage protocol · Backend protocol · SimResult facade │ +├─ 2. Cross-cutting services ────────────────────────────────────┤ +│ reproducibility (seed, derive_subseed, id reset) │ +│ backend lifecycle (NMODL/Cython build·load·teardown, params) │ +│ units & validation (quantities, beartype) │ +├─ 1. Analysis / viz (out of hot path) ──────────────────────────┤ +│ plotting.* · firing-rate/CV stats · noise calibration │ +└────────────────────────────────────────────────────────────────┘ +``` + +### Closed-loop data flow + +``` + descending drive ─────────────┐ + ▼ + ┌──────────────────────────────────────────────┐ + │ Network (dynamics seam: NEURON │ jaxley) │ + │ α-MN pool · Renshaw · Ia-IN · afferent in │◀───────┐ + └───────────────┬──────────────────────────────┘ │ + MN spikes │ afferent + ▼ │ firing + ┌──────────┐ ┌───────────────┐ ┌────────────┴─────┐ + │ Muscle │──▶│ Joint / │──▶│ Afferents │ + │ (force) │ │ biomechanics │ │ spindle Ia/II, │ + └────┬─────┘ │ (len,vel,ang) │ │ GTO Ib │ + ▼ force └───────────────┘ └──────────────────┘ + ┌────────────┐ + │ SurfaceEMG │──▶ SimResult + └────────────┘ +``` + +At step *t*, the `Afferents` stage reads muscle/joint state from *t−1* and injects input for *t*. This **one-tick feedback delay** is where conduction/axonal delays live; it makes the loop steppable without a global implicit solve. Open-loop runs simply do not wire the feedback edge. + +## 4. Core protocols + +Plain-array, in-place, backend-agnostic. Sketches (final signatures to be settled in the implementation plan): + +```python +class SimState: + """The shared buffer. Single source of truth. SI floats, no units, no neo.""" + dynamics: Array # [n_units, state_dim] (xp = numpy | jax | torch) + spikes: Array # event/boolean or per-unit spike-time store + force: Array # [n_t, n_pools] + emg: Array | None # [n_t, n_rows, n_cols] + xp: ModuleType # the array backend (np/jnp/torch) — one place + def view(self, name) -> Array: ... # zero-copy slice for a stage + +class Stage(Protocol): + """Thin. Owns API + units + validation; delegates physics to a Backend.""" + def setup(self, state: SimState) -> None: ... # claim buffer slices + def step(self, state: SimState, t: int) -> None: ... # write IN PLACE + def render(self, state: SimState) -> Array: ... # optional derived output + +class Backend(Protocol): + """Behind a seam. The thing that actually integrates physics.""" + def init(self, spec, state: SimState) -> None: ... + def advance(self, state: SimState, dt: float) -> None: ... + def teardown(self) -> None: ... + +class Simulation: + """Backend-agnostic driver. Owns dt + the lockstep tick over the graph.""" + def __init__(self, *stages: Stage, dt, edges=None): ... + def run(self, drive, dt=None, until=None) -> "SimResult": ... + def step_callback(self, fn): ... # per-step closed-loop hook (raw slices) +``` + +### `SimResult` — buffer-first data facade (the data-format decision) + +Core + results are **plain SI float arrays**. Neo/NWB are opt-in **methods** (not properties — so neo cannot silently re-enter helper code) built on demand. + +```python +@dataclass(slots=True) +class SimResult: + spike_times_s: list[Array] # per unit, seconds + force_N: Array # [n_t, n_pools], Newtons + surface_emg_V: Array | None # [n_t, n_rows, n_cols], Volts + dt_s: float; t_start_s: float; n_units: int; grid_shape: tuple | None + def to_neo(self) -> "neo.Block": ... # zero-copy for C-contig float64; 1 copy for float32/GPU + def to_nwb(self, path, **kw): ... # delegates to to_neo() → existing export_to_nwb + def to_torch(self): ... # zero-copy if CPU + def to_jax(self): ... +``` + +**Where units live:** `quantities` only at the spec-input boundary (existing `types.py` `Quantity__Hz`/`Quantity__ms` + `beartype` pattern) and inside the adapter methods. SI is implied in `SimResult` by field-name suffix (`_V`, `_N`, `_s`). The hot-path modules import neither `neo` nor `quantities`. + +**Gotchas (documented, from verification):** `neo.AnalogSignal(arr*pq.V, copy=False)` is zero-copy only for C-contiguous float64 numpy; float32 upcasts (one copy). JAX arrays are immutable/on-device → `__array__` forces a host copy; this is fundamental to JAX, not a MyoGen bug. Per-step closed-loop callbacks **must** use raw buffer slices, never `to_neo()` (constructing a Block per tick defeats the design). + +## 5. The two backend seams + +### Seam #1 — neural dynamics (`Network`): NEURON now → jaxley later + +`Network` holds **populations** (α-MN, Renshaw, Ia interneurons, afferent input terminals, descending-drive terminals) and a **backend-neutral connectivity spec** (source pop, target pop, weight, delay, sign), replacing direct `h.NetCon`/`h.Section`/synapse objects in the public API. + +- **`NEURONBackend` (today):** keeps its internal `Section`/`NetCon` graph but **syncs to/from `SimState` at the step boundary** (read input slice → advance NEURON → write spike/voltage slice). NEURON globals (`h.run`, `h.dt`, `FInitializeHandler`) stay *inside* this backend; the public `Simulation` never sees them. +- **`JaxleyBackend` (future):** the population state *is* the `SimState.dynamics` array; `advance` is `vmap`/`jit` over it on GPU. This is the case the flat-buffer core exists for. + +### Seam #2 — muscle / force / volume conductor (`Muscle`): analytic → FEM later + +`Muscle` owns more than force: **spatial geometry, MU territories, innervation areas, fiber layout** *and* a pluggable force model. + +- **Force models (today):** `Fuglevand` (`ForceModel`), `ForceModelVectorized`, and dynamic `HillModel` (with flexor/extensor role). +- **`FEMBackend` (future, Devon):** replaces the cylindrical (Farina) volume-conductor / analytic geometry with a finite-element muscle model, feeding better length/force signals into the afferents. + +## 6. Mapping the current public surface (nothing dropped) + +From the Codex completeness audit. Every current public item has a home: + +| Current surface | New home | +| --- | --- | +| `AlphaMN__Pool`, `*__Pool` (afferents, interneurons, descending drive), `Network`, connectivity | **Network** stage + Connectivity spec | +| `SimulationRunner` | **Simulation** driver (backend-agnostic) | +| `RecruitmentThresholds` (fuglevand/deluca/konstantin/combined) | **Recruitment** spec (shared Network + Muscle) | +| `Muscle` (geometry, territories, innervation, fibers) | **Muscle** stage (spatial) | +| `ForceModel`, `ForceModelVectorized`, `HillModel` | **Muscle** force backends (seam #2) | +| `JointDynamics`, `JointBiomechanics`, `*Geometry` | **Joint/biomechanics** stage (multi-muscle, roles/signs explicit) | +| `SpindleModel`, `GolgiTendonOrganModel` | **Afferents** stage (transduction) | +| `SurfaceEMG`, `IntramuscularEMG` | **EMG output** stages | +| `SurfaceElectrodeArray`, `IntramuscularElectrodeArray` | **ElectrodeArray** spec | +| `create_grid_signal`, `signal_to_grid`, `get_electrode/row/column`, `GridAnalogSignal` | **Data & IO** (grid annotations) | +| `create_*_current` (sinusoid/sawtooth/step/ramp/trapezoid), IClamp injection helpers | **Drive/Stimuli** spec | +| `set_random_seed`, `derive_subseed`, `reset_cell_id_counters`, `get_random_*` | **Reproducibility** service | +| `_setup_myogen`, NMODL compile/load, `get/validate/set_mechanism_param`, `BuildWithNMODL` | **Backend lifecycle** service | +| `bin_spike_trains`, `types.py`, `beartowertype` | **Core data adapters / units & validation** | +| `ContinuousSaver`, chunk combine, `export_to_nwb`, `validate_nwb` | **Data & IO** (persistence/export) | +| `emg_noise.*` (generation/calibration) | **EMG output** stage (attached) | +| `plotting.*`, `calculate_SD_FR`, `calculate_firing_rate_statistics`, `get_gamma_shape_for_mvc` | **Analysis/viz** layer (out of hot path) | + +## 7. Net-new work this implies (not in the codebase today) + +- The `SimState` shared buffer + zero-copy `numpy`/`torch`/`jax` views with explicit shape/dtype/device/ownership rules. +- Backend-agnostic `Stage` / `Backend` protocols (write-in-place, not return-value). +- Backend-agnostic `Simulation` driver + graph scheduler with feedback edges and one-tick-delay semantics (today's `SimulationRunner` is NEURON-specific). +- Backend-neutral population/connectivity spec (replacing direct `h.Section`/`h.NetCon`/synapse objects). +- `SimResult` facade + neo/NWB adapters; the `run().to_neo()` migration shim. +- FEM-ready muscle/force abstraction; multi-muscle/antagonist torque model with explicit roles/signs. +- `make()` one-liner + TOML/`Spec` config (current config is YAML + partial). +- The `JaxleyBackend` and `FEMBackend` themselves (separate, later efforts — this proposal only guarantees the seams exist for them). + +## 8. Migration / clean-break plan + +1. Build the new layered API alongside the current one on `feat/puffer-api`. +2. `NEURONBackend` reuses today's NEURON/NMODL/Cython machinery internally — no physics rewrite to ship v1. +3. Provide `run().to_neo()` ≡ old `run()` (identical Block structure) + thin shims so existing scripts/examples keep working during transition. +4. Port the examples and paper-reproduction scripts to the new API. +5. Deprecate the old surface over two releases, then remove. + +## 9. Testing strategy (for the eventual implementation) + +- **Parity tests:** new `NEURONBackend` path reproduces current `SimulationRunner` outputs (spike times, force, EMG) within tolerance on the existing examples — the safety net for the clean break. +- **Protocol/contract tests:** a `FakeBackend` and `FakeStage` exercise `SimState`/`Stage`/`Backend`/`Simulation` without NEURON, so the core is testable in CI without compiled deps. +- **Closed-loop tests:** a minimal reflex loop (drive → Network → Muscle → Afferents → Network) verifies one-tick-delay semantics and stability. +- **Data-format tests:** `SimResult.to_neo()`/`to_nwb()` round-trips equal the legacy Block; assert no `neo`/`quantities` import on the hot-path modules; assert zero-copy where promised (shared base pointer for C-contig float64). +- **Backend-swap smoke test:** the same `Spec` runs through `NEURONBackend`; a stub `JaxleyBackend` satisfies the protocol (interface-level, no physics) to prove the seam holds. + +## 10. Open questions (for the team) + +- **jaxley scope:** does it become the *default* batched backend with NEURON as the reference, or an opt-in alternative? (Affects how hard we push float32/GPU defaults.) +- **FEM coupling:** is the FEM muscle a per-step stage in the closed loop, or a higher-fidelity offline pass that precomputes MUAPs/territories? (Affects whether seam #2 is a step-backend or a geometry-backend.) +- **Analysis/viz:** keep `plotting.*` in-tree as `myogen.viz`, or split to a companion package? +- **Spec format:** TOML vs. dataclasses-as-primary (with TOML as one loader). Current config is YAML. + +--- + +*This is a proposal to agree on shape before building. The next step after sign-off is an implementation plan (per-task, TDD) for the core layer + `NEURONBackend`, behind which jaxley and FEM land as separate efforts.* From 0b634caa87641d72da04cd44e31207eb1cb91c6c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Raul=20C=2E=20S=C3=AEmpetru?= Date: Tue, 23 Jun 2026 08:53:33 +0300 Subject: [PATCH 02/60] docs: add kernel-core implementation plan Bite-sized TDD plan for the backend-agnostic simulation kernel (myogen/kernel): SimState shared buffer, Stage/Backend protocols, the Simulation lockstep driver with one-tick closed-loop feedback, and the buffer-first SimResult with lazy neo/NWB adapters. Seven tasks, fully CI-testable without NEURON/jaxley/FEM. NEURONBackend, real stages, jaxley and FEM are scoped as follow-on plans. --- .../plans/2026-06-23-kernel-core.md | 1009 +++++++++++++++++ 1 file changed, 1009 insertions(+) create mode 100644 docs/superpowers/plans/2026-06-23-kernel-core.md diff --git a/docs/superpowers/plans/2026-06-23-kernel-core.md b/docs/superpowers/plans/2026-06-23-kernel-core.md new file mode 100644 index 00000000..83a39924 --- /dev/null +++ b/docs/superpowers/plans/2026-06-23-kernel-core.md @@ -0,0 +1,1009 @@ +# MyoGen Kernel Core Implementation Plan + +> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking. + +**Goal:** Build the backend-agnostic simulation kernel (`myogen/kernel/`) — `SimState` shared buffer, `Stage`/`Backend` protocols, the `Simulation` lockstep driver with closed-loop feedback, and the buffer-first `SimResult` with opt-in neo/NWB adapters — fully testable in CI with no NEURON/jaxley/FEM. + +**Architecture:** A `SimState` holds named, contiguous SI float arrays (`xp` = numpy by default). `Stage` objects claim buffer slices in `setup()` and write them in place in `step()`. A `Simulation` runs all stages in fixed list order each tick; feedback emerges naturally (a stage reading a buffer a later stage writes gets the previous tick's value — a one-tick delay). `SimResult` snapshots the buffers as raw arrays and exposes `to_neo()`/`to_nwb()` as explicit, lazy methods so neo/quantities never touch the hot path. + +**Tech Stack:** Python 3.12+, numpy (core), neo + quantities + pynwb (adapters only, already core deps), pytest. No jax/torch dependency in this slice (`xp` is parameterizable for later). + +**Scope:** This is plan 1 of several. It delivers the kernel only. `NEURONBackend`, the real stages (Network/Muscle/Joint/Afferents/EMG), jaxley, and FEM are follow-on plans built on these protocols. Source spec: `docs/superpowers/specs/2026-06-23-pufferlib-inspired-api-design.md` (§4 core protocols, §4 `SimResult`, §9 testing). + +**Conventions:** +- Run tests with: `uv run pytest tests/kernel -v` (falls back to `pytest tests/kernel -v` if not using uv). +- All new kernel modules start with `from __future__ import annotations`. +- Hot-path modules (`state.py`, `protocols.py`, `simulation.py`) MUST NOT import `neo` or `quantities` at module level. Only `result.py` may, and only lazily (inside methods). + +--- + +### Task 1: Package scaffold + `SimState` + +**Files:** +- Create: `myogen/kernel/__init__.py` +- Create: `myogen/kernel/state.py` +- Create: `tests/kernel/__init__.py` +- Test: `tests/kernel/test_state.py` + +- [ ] **Step 1: Write the failing test** + +Create `tests/kernel/__init__.py` (empty file) and `tests/kernel/test_state.py`: + +```python +from __future__ import annotations + +import numpy as np +import pytest + +from myogen.kernel.state import SimState + + +def test_alloc_returns_zeroed_array_and_view_returns_same_object(): + state = SimState(n_units=4, dt_s=0.001, n_steps=10) + buf = state.alloc("force", (10, 2)) + assert buf.shape == (10, 2) + assert buf.dtype == np.float64 + assert np.all(buf == 0.0) + # view returns the SAME underlying object (zero-copy contract) + assert state.view("force") is buf + assert state.has("force") is True + + +def test_view_missing_buffer_raises_keyerror(): + state = SimState(n_units=1, dt_s=0.001, n_steps=1) + assert state.has("nope") is False + with pytest.raises(KeyError, match="no buffer named 'nope'"): + state.view("nope") + + +def test_double_alloc_raises(): + state = SimState(n_units=1, dt_s=0.001, n_steps=1) + state.alloc("x", (3,)) + with pytest.raises(KeyError, match="already allocated"): + state.alloc("x", (3,)) + + +def test_alloc_respects_dtype_and_xp_default_is_numpy(): + state = SimState(n_units=1, dt_s=0.001, n_steps=1) + assert state.xp is np + buf = state.alloc("spikes", (5, 1), dtype=np.int8) + assert buf.dtype == np.int8 +``` + +- [ ] **Step 2: Run test to verify it fails** + +Run: `uv run pytest tests/kernel/test_state.py -v` +Expected: FAIL with `ModuleNotFoundError: No module named 'myogen.kernel'` + +- [ ] **Step 3: Write minimal implementation** + +Create `myogen/kernel/__init__.py`: + +```python +from __future__ import annotations + +from myogen.kernel.state import SimState + +__all__ = ["SimState"] +``` + +Create `myogen/kernel/state.py`: + +```python +from __future__ import annotations + +from dataclasses import dataclass, field +from types import ModuleType + +import numpy as np + + +@dataclass +class SimState: + """The shared simulation buffer. + + Single source of truth for a run. Holds named, contiguous SI float arrays. + Stages claim buffers in ``setup()`` and write them in place in ``step()``. + No physical units and no neo objects ever live here — SI is implied. + """ + + n_units: int + dt_s: float + n_steps: int + xp: ModuleType = np + t: int = 0 # current step index, set by the driver each tick + _buffers: dict = field(default_factory=dict, repr=False) + + def alloc(self, name: str, shape: tuple[int, ...], dtype=None): + """Allocate a zeroed buffer and return it. Raises if name is taken.""" + if name in self._buffers: + raise KeyError(f"buffer {name!r} already allocated") + if dtype is None: + dtype = self.xp.float64 + buf = self.xp.zeros(shape, dtype=dtype) + self._buffers[name] = buf + return buf + + def view(self, name: str): + """Return the buffer named ``name`` (the same object, zero-copy).""" + try: + return self._buffers[name] + except KeyError: + raise KeyError(f"no buffer named {name!r}") from None + + def has(self, name: str) -> bool: + return name in self._buffers +``` + +- [ ] **Step 4: Run test to verify it passes** + +Run: `uv run pytest tests/kernel/test_state.py -v` +Expected: PASS (4 passed) + +- [ ] **Step 5: Commit** + +```bash +git add myogen/kernel/__init__.py myogen/kernel/state.py tests/kernel/__init__.py tests/kernel/test_state.py +git commit -m "feat(kernel): add SimState shared buffer" +``` + +--- + +### Task 2: `Stage` and `Backend` protocols + +**Files:** +- Create: `myogen/kernel/protocols.py` +- Modify: `myogen/kernel/__init__.py` +- Test: `tests/kernel/test_protocols.py` + +- [ ] **Step 1: Write the failing test** + +Create `tests/kernel/test_protocols.py`: + +```python +from __future__ import annotations + +from myogen.kernel.protocols import Backend, Stage +from myogen.kernel.state import SimState + + +class _GoodStage: + def setup(self, state: SimState) -> None: + state.alloc("x", (state.n_steps,)) + + def step(self, state: SimState, t: int) -> None: + state.view("x")[t] = 1.0 + + +class _GoodBackend: + def init(self, state: SimState) -> None: ... + def advance(self, state: SimState, dt_s: float) -> None: ... + def teardown(self) -> None: ... + + +class _NotAStage: + def setup(self, state) -> None: ... + # missing step() + + +def test_stage_protocol_is_runtime_checkable(): + assert isinstance(_GoodStage(), Stage) + assert not isinstance(_NotAStage(), Stage) + + +def test_backend_protocol_is_runtime_checkable(): + assert isinstance(_GoodBackend(), Backend) + assert not isinstance(_GoodStage(), Backend) +``` + +- [ ] **Step 2: Run test to verify it fails** + +Run: `uv run pytest tests/kernel/test_protocols.py -v` +Expected: FAIL with `ModuleNotFoundError: No module named 'myogen.kernel.protocols'` + +- [ ] **Step 3: Write minimal implementation** + +Create `myogen/kernel/protocols.py`: + +```python +from __future__ import annotations + +from typing import Protocol, runtime_checkable + +from myogen.kernel.state import SimState + + +@runtime_checkable +class Stage(Protocol): + """A thin pipeline stage. Owns API/units/validation; writes buffers in place. + + Stages do not return values — they mutate the shared ``SimState``. A stage + that needs physics delegates to a ``Backend`` behind a seam. + """ + + def setup(self, state: SimState) -> None: + """Claim (allocate) the buffers this stage writes.""" + ... + + def step(self, state: SimState, t: int) -> None: + """Advance one tick, writing results into the state buffers in place.""" + ... + + +@runtime_checkable +class Backend(Protocol): + """The thing that actually integrates physics, behind a seam. + + Implementations: NEURONBackend / JaxleyBackend (dynamics seam), + Analytic / Hill / FEM (muscle seam). Not exercised by the kernel itself + beyond protocol conformance — concrete backends are follow-on plans. + """ + + def init(self, state: SimState) -> None: ... + + def advance(self, state: SimState, dt_s: float) -> None: ... + + def teardown(self) -> None: ... +``` + +Update `myogen/kernel/__init__.py`: + +```python +from __future__ import annotations + +from myogen.kernel.protocols import Backend, Stage +from myogen.kernel.state import SimState + +__all__ = ["SimState", "Stage", "Backend"] +``` + +- [ ] **Step 4: Run test to verify it passes** + +Run: `uv run pytest tests/kernel/test_protocols.py -v` +Expected: PASS (2 passed) + +- [ ] **Step 5: Commit** + +```bash +git add myogen/kernel/protocols.py myogen/kernel/__init__.py tests/kernel/test_protocols.py +git commit -m "feat(kernel): add Stage and Backend protocols" +``` + +--- + +### Task 3: `Simulation` driver — lockstep run + +**Files:** +- Create: `myogen/kernel/simulation.py` +- Create: `tests/kernel/_doubles.py` +- Modify: `myogen/kernel/__init__.py` +- Test: `tests/kernel/test_simulation.py` + +Note: `SimResult` does not exist yet. In this task `Simulation.run()` returns the `SimState`; Task 5 changes it to return a `SimResult`. The test here asserts on the final `SimState`. + +- [ ] **Step 1: Write the failing test** + +Create `tests/kernel/_doubles.py` (shared test doubles — NOT a test module): + +```python +"""Test doubles for the kernel. Tiny, dependency-free Stage/Backend fakes.""" +from __future__ import annotations + +from myogen.kernel.state import SimState + + +class RampStage: + """Writes t into buffer ``name`` at row t each step (a deterministic ramp).""" + + def __init__(self, name: str = "ramp"): + self.name = name + + def setup(self, state: SimState) -> None: + state.alloc(self.name, (state.n_steps,)) + + def step(self, state: SimState, t: int) -> None: + state.view(self.name)[t] = float(t) + + +class CountingBackend: + """A Backend double that records lifecycle calls and integrates a counter.""" + + def __init__(self): + self.calls: list[str] = [] + self.advances = 0 + + def init(self, state: SimState) -> None: + self.calls.append("init") + state.alloc("counter", (state.n_steps,)) + + def advance(self, state: SimState, dt_s: float) -> None: + state.view("counter")[state.t] = self.advances + self.advances += 1 + + def teardown(self) -> None: + self.calls.append("teardown") +``` + +Create `tests/kernel/test_simulation.py`: + +```python +from __future__ import annotations + +import numpy as np +import pytest + +from myogen.kernel.simulation import Simulation +from tests.kernel._doubles import RampStage + + +def test_run_steps_each_stage_once_per_tick(): + sim = Simulation(RampStage("a"), RampStage("b"), n_units=2, dt_s=0.001, n_steps=5) + state = sim.run() + assert np.array_equal(state.view("a"), np.arange(5, dtype=float)) + assert np.array_equal(state.view("b"), np.arange(5, dtype=float)) + + +def test_run_calls_setup_before_stepping_and_sets_t(): + sim = Simulation(RampStage(), n_units=1, dt_s=0.001, n_steps=3) + state = sim.run() + # final t is the last step index + assert state.t == 2 + + +def test_simulation_requires_at_least_one_stage(): + with pytest.raises(ValueError, match="at least one stage"): + Simulation(n_units=1, dt_s=0.001, n_steps=1) +``` + +- [ ] **Step 2: Run test to verify it fails** + +Run: `uv run pytest tests/kernel/test_simulation.py -v` +Expected: FAIL with `ModuleNotFoundError: No module named 'myogen.kernel.simulation'` + +- [ ] **Step 3: Write minimal implementation** + +Create `myogen/kernel/simulation.py`: + +```python +from __future__ import annotations + +from collections.abc import Callable + +import numpy as np + +from myogen.kernel.state import SimState + + +class Simulation: + """Backend-agnostic driver. Owns dt and the lockstep tick over the stages. + + Stages run in fixed list order each tick. Closed-loop feedback emerges + naturally: a stage that reads a buffer a *later* stage writes sees the + previous tick's value (a one-tick delay where conduction delays live). + """ + + def __init__( + self, + *stages, + n_units: int, + dt_s: float, + n_steps: int, + xp=np, + ): + if not stages: + raise ValueError("Simulation requires at least one stage") + self.stages = list(stages) + self.state = SimState(n_units=n_units, dt_s=dt_s, n_steps=n_steps, xp=xp) + self._callbacks: list[Callable[[SimState, int], None]] = [] + self._setup_done = False + + def on_step(self, fn: Callable[[SimState, int], None]) -> None: + """Register a per-tick callback (closed-loop hook). Gets raw buffers.""" + self._callbacks.append(fn) + + def setup(self) -> None: + for stage in self.stages: + stage.setup(self.state) + self._setup_done = True + + def run(self) -> SimState: + if not self._setup_done: + self.setup() + s = self.state + for t in range(s.n_steps): + s.t = t + for stage in self.stages: + stage.step(s, t) + for cb in self._callbacks: + cb(s, t) + return s +``` + +Update `myogen/kernel/__init__.py`: + +```python +from __future__ import annotations + +from myogen.kernel.protocols import Backend, Stage +from myogen.kernel.simulation import Simulation +from myogen.kernel.state import SimState + +__all__ = ["SimState", "Stage", "Backend", "Simulation"] +``` + +- [ ] **Step 4: Run test to verify it passes** + +Run: `uv run pytest tests/kernel/test_simulation.py -v` +Expected: PASS (3 passed) + +- [ ] **Step 5: Commit** + +```bash +git add myogen/kernel/simulation.py myogen/kernel/__init__.py tests/kernel/_doubles.py tests/kernel/test_simulation.py +git commit -m "feat(kernel): add Simulation lockstep driver" +``` + +--- + +### Task 4: Closed-loop feedback (one-tick delay) + `on_step` callback + +**Files:** +- Test: `tests/kernel/test_feedback.py` + +This task adds no production code — it proves the feedback and callback semantics the driver already supports, locking them with tests (they are load-bearing for the whole closed-loop design). + +- [ ] **Step 1: Write the failing test** + +Create `tests/kernel/test_feedback.py`: + +```python +from __future__ import annotations + +import numpy as np + +from myogen.kernel.simulation import Simulation +from myogen.kernel.state import SimState + + +class _Writer: + """Stage B: writes 'signal'[t] = t each tick (runs AFTER the reader).""" + + def setup(self, state: SimState) -> None: + state.alloc("signal", (state.n_steps,)) + + def step(self, state: SimState, t: int) -> None: + state.view("signal")[t] = float(t) + + +class _Reader: + """Stage A: reads 'signal' from the PREVIOUS tick into 'fed_back'.""" + + def setup(self, state: SimState) -> None: + state.alloc("fed_back", (state.n_steps,)) + + def step(self, state: SimState, t: int) -> None: + prev = state.view("signal")[t - 1] if t > 0 else 0.0 + state.view("fed_back")[t] = prev + + +def test_feedback_has_one_tick_delay(): + # Reader runs before Writer, so it sees last tick's signal: a one-tick delay. + sim = Simulation(_Reader(), _Writer(), n_units=1, dt_s=0.001, n_steps=4) + state = sim.run() + # signal = [0,1,2,3]; fed_back = [0, signal[0], signal[1], signal[2]] = [0,0,1,2] + assert np.array_equal(state.view("fed_back"), np.array([0.0, 0.0, 1.0, 2.0])) + + +def test_on_step_callback_runs_each_tick_with_raw_state(): + sim = Simulation(_Writer(), n_units=1, dt_s=0.001, n_steps=3) + seen: list[float] = [] + sim.on_step(lambda s, t: seen.append(float(s.view("signal")[t]))) + sim.run() + assert seen == [0.0, 1.0, 2.0] +``` + +- [ ] **Step 2: Run test to verify it fails** + +Run: `uv run pytest tests/kernel/test_feedback.py -v` +Expected: PASS immediately is NOT expected — but if the driver is correct it will PASS. If it FAILS, the driver's ordering/callback logic is wrong and must be fixed in `simulation.py`. Run and confirm the behavior. + +(Note: because Task 3 already implemented the driver correctly, these tests should pass. They exist to *lock* the semantics. If they fail, fix `simulation.py` until they pass.) + +- [ ] **Step 3: (only if Step 2 failed) Fix the driver** + +If `test_feedback_has_one_tick_delay` fails, ensure stages run in list order within a single tick (not re-ordered) and `s.t` is set before stages run. If `test_on_step_callback` fails, ensure callbacks run after all stages each tick. The Task 3 implementation already does this; no change expected. + +- [ ] **Step 4: Run test to verify it passes** + +Run: `uv run pytest tests/kernel/test_feedback.py -v` +Expected: PASS (2 passed) + +- [ ] **Step 5: Commit** + +```bash +git add tests/kernel/test_feedback.py +git commit -m "test(kernel): lock one-tick feedback and on_step semantics" +``` + +--- + +### Task 5: `SimResult.from_state` (buffer-first snapshot) + +**Files:** +- Create: `myogen/kernel/result.py` +- Modify: `myogen/kernel/simulation.py` (return `SimResult` from `run()`) +- Modify: `myogen/kernel/__init__.py` +- Modify: `tests/kernel/test_simulation.py` (run() now returns SimResult; assert via `.state` accessor) +- Test: `tests/kernel/test_result.py` + +Convention for `from_state`: spikes are stored in a `(n_steps, n_units)` buffer named `"spikes"` (nonzero = spike); force in `"force"` `(n_steps, n_pools)`; surface EMG in `"surface_emg"` `(n_steps, n_rows, n_cols)`. All optional. + +- [ ] **Step 1: Write the failing test** + +Create `tests/kernel/test_result.py`: + +```python +from __future__ import annotations + +import numpy as np + +from myogen.kernel.result import SimResult +from myogen.kernel.state import SimState + + +def _state_with_spikes_and_force() -> SimState: + state = SimState(n_units=2, dt_s=0.5, n_steps=4) + spikes = state.alloc("spikes", (4, 2), dtype=np.int8) + spikes[1, 0] = 1 # unit 0 spikes at step 1 -> t = 0.5 s + spikes[3, 1] = 1 # unit 1 spikes at step 3 -> t = 1.5 s + force = state.alloc("force", (4, 1)) + force[:, 0] = [0.0, 1.0, 2.0, 3.0] + state.t = 3 + return state + + +def test_from_state_extracts_spike_times_in_seconds(): + res = SimResult.from_state(_state_with_spikes_and_force()) + assert res.n_units == 2 + assert res.dt_s == 0.5 + assert np.array_equal(res.spike_times_s[0], np.array([0.5])) + assert np.array_equal(res.spike_times_s[1], np.array([1.5])) + + +def test_from_state_copies_force_array(): + res = SimResult.from_state(_state_with_spikes_and_force()) + assert np.array_equal(res.force_N[:, 0], np.array([0.0, 1.0, 2.0, 3.0])) + + +def test_from_state_handles_missing_optional_buffers(): + state = SimState(n_units=3, dt_s=0.001, n_steps=2) + res = SimResult.from_state(state) + assert res.force_N is None + assert res.surface_emg_V is None + assert len(res.spike_times_s) == 3 + for arr in res.spike_times_s: + assert arr.size == 0 + + +def test_from_state_infers_grid_shape_from_emg(): + state = SimState(n_units=1, dt_s=0.001, n_steps=2) + state.alloc("surface_emg", (2, 8, 4)) + res = SimResult.from_state(state) + assert res.grid_shape == (8, 4) +``` + +- [ ] **Step 2: Run test to verify it fails** + +Run: `uv run pytest tests/kernel/test_result.py -v` +Expected: FAIL with `ModuleNotFoundError: No module named 'myogen.kernel.result'` + +- [ ] **Step 3: Write minimal implementation** + +Create `myogen/kernel/result.py`: + +```python +from __future__ import annotations + +from dataclasses import dataclass + +import numpy as np + +from myogen.kernel.state import SimState + + +@dataclass(slots=True) +class SimResult: + """Buffer-first results facade. Raw SI float arrays only. + + neo/NWB are opt-in *methods* (not properties) so they never sneak into the + hot path. SI is implied by field-name suffixes (_s, _N, _V). + """ + + spike_times_s: list # list[np.ndarray], one per unit, seconds + force_N: np.ndarray | None + surface_emg_V: np.ndarray | None + dt_s: float + t_start_s: float + n_units: int + grid_shape: tuple[int, ...] | None = None + + @classmethod + def from_state(cls, state: SimState) -> "SimResult": + if state.has("spikes"): + spikes = np.asarray(state.view("spikes")) + spike_times = [ + np.flatnonzero(spikes[:, u]).astype(float) * state.dt_s + for u in range(state.n_units) + ] + else: + spike_times = [np.empty(0) for _ in range(state.n_units)] + + force = np.asarray(state.view("force")) if state.has("force") else None + emg = ( + np.asarray(state.view("surface_emg")) + if state.has("surface_emg") + else None + ) + grid = tuple(emg.shape[1:]) if emg is not None and emg.ndim == 3 else None + + return cls( + spike_times_s=spike_times, + force_N=force, + surface_emg_V=emg, + dt_s=state.dt_s, + t_start_s=0.0, + n_units=state.n_units, + grid_shape=grid, + ) +``` + +Update `myogen/kernel/simulation.py` — change the import and the `run()` return: + +Replace the import line `from myogen.kernel.state import SimState` with: + +```python +from myogen.kernel.result import SimResult +from myogen.kernel.state import SimState +``` + +Replace the `run` method's signature and final `return s` so it reads: + +```python + def run(self) -> SimResult: + if not self._setup_done: + self.setup() + s = self.state + for t in range(s.n_steps): + s.t = t + for stage in self.stages: + stage.step(s, t) + for cb in self._callbacks: + cb(s, t) + return SimResult.from_state(s) +``` + +Update `myogen/kernel/__init__.py`: + +```python +from __future__ import annotations + +from myogen.kernel.protocols import Backend, Stage +from myogen.kernel.result import SimResult +from myogen.kernel.simulation import Simulation +from myogen.kernel.state import SimState + +__all__ = ["SimState", "Stage", "Backend", "Simulation", "SimResult"] +``` + +Update `tests/kernel/test_simulation.py` — `run()` now returns a `SimResult`, so the three tests must read the buffers through the simulation's `state`, not the return value. Replace the three test bodies with: + +```python +def test_run_steps_each_stage_once_per_tick(): + sim = Simulation(RampStage("a"), RampStage("b"), n_units=2, dt_s=0.001, n_steps=5) + sim.run() + assert np.array_equal(sim.state.view("a"), np.arange(5, dtype=float)) + assert np.array_equal(sim.state.view("b"), np.arange(5, dtype=float)) + + +def test_run_calls_setup_before_stepping_and_sets_t(): + sim = Simulation(RampStage(), n_units=1, dt_s=0.001, n_steps=3) + sim.run() + assert sim.state.t == 2 + + +def test_simulation_requires_at_least_one_stage(): + with pytest.raises(ValueError, match="at least one stage"): + Simulation(n_units=1, dt_s=0.001, n_steps=1) +``` + +- [ ] **Step 4: Run test to verify it passes** + +Run: `uv run pytest tests/kernel -v` +Expected: PASS (all kernel tests, including the updated `test_simulation.py` and new `test_result.py`) + +- [ ] **Step 5: Commit** + +```bash +git add myogen/kernel/result.py myogen/kernel/simulation.py myogen/kernel/__init__.py tests/kernel/test_result.py tests/kernel/test_simulation.py +git commit -m "feat(kernel): add SimResult buffer-first snapshot; run() returns it" +``` + +--- + +### Task 6: `SimResult.to_neo` / `to_nwb` adapters (lazy, off the hot path) + +**Files:** +- Modify: `myogen/kernel/result.py` +- Test: `tests/kernel/test_result_adapters.py` + +`to_neo()` builds a `neo.Block` with one `Segment`: a `SpikeTrain` per unit, an `AnalogSignal` for force (N), and an `AnalogSignal` for EMG (V, flattened to 2-D). `to_nwb()` delegates to the existing `myogen.utils.nwb.export_to_nwb` and is tested via monkeypatch (no dependence on its exact signature here). + +- [ ] **Step 1: Write the failing test** + +Create `tests/kernel/test_result_adapters.py`: + +```python +from __future__ import annotations + +import numpy as np +import quantities as pq + +from myogen.kernel.result import SimResult + + +def _make_result() -> SimResult: + return SimResult( + spike_times_s=[np.array([0.5]), np.array([1.5])], + force_N=np.array([[0.0], [1.0], [2.0], [3.0]]), + surface_emg_V=np.zeros((4, 2, 2)), + dt_s=0.5, + t_start_s=0.0, + n_units=2, + grid_shape=(2, 2), + ) + + +def test_to_neo_builds_block_with_spiketrains_and_signals(): + block = _make_result().to_neo() + seg = block.segments[0] + assert len(seg.spiketrains) == 2 + assert np.allclose(seg.spiketrains[0].rescale(pq.s).magnitude, [0.5]) + # one force signal (N) + one emg signal (V) + units = {str(sig.units.dimensionality) for sig in seg.analogsignals} + assert "N" in units + assert "V" in units + + +def test_to_neo_force_signal_sampling_rate_matches_dt(): + block = _make_result().to_neo() + force_sig = next( + s for s in block.segments[0].analogsignals + if str(s.units.dimensionality) == "N" + ) + assert np.isclose(force_sig.sampling_rate.rescale(pq.Hz).magnitude, 2.0) # 1/0.5 + + +def test_to_nwb_delegates_to_export_to_nwb(monkeypatch): + captured = {} + + def fake_export(block, path, **kwargs): + captured["block"] = block + captured["path"] = path + return path + + monkeypatch.setattr("myogen.utils.nwb.export_to_nwb", fake_export) + result = _make_result() + out = result.to_nwb("/tmp/out.nwb") + assert out == "/tmp/out.nwb" + assert captured["path"] == "/tmp/out.nwb" + # delegated a real neo.Block built from this result + assert len(captured["block"].segments[0].spiketrains) == 2 +``` + +- [ ] **Step 2: Run test to verify it fails** + +Run: `uv run pytest tests/kernel/test_result_adapters.py -v` +Expected: FAIL with `AttributeError: 'SimResult' object has no attribute 'to_neo'` + +- [ ] **Step 3: Write minimal implementation** + +Append two methods to the `SimResult` class in `myogen/kernel/result.py` (lazy imports keep neo/quantities off the hot path): + +```python + def to_neo(self): + """Build a neo.Block on demand. neo/quantities imported lazily here only.""" + import neo + import quantities as pq + + n_t = 0 + if self.force_N is not None: + n_t = len(self.force_N) + elif self.surface_emg_V is not None: + n_t = self.surface_emg_V.shape[0] + t_stop = (self.t_start_s + n_t * self.dt_s) * pq.s + rate = (1.0 / self.dt_s) * pq.Hz + t_start = self.t_start_s * pq.s + + block = neo.Block() + seg = neo.Segment() + block.segments.append(seg) + + for times in self.spike_times_s: + seg.spiketrains.append( + neo.SpikeTrain(np.asarray(times) * pq.s, t_stop=t_stop) + ) + + if self.force_N is not None: + seg.analogsignals.append( + neo.AnalogSignal( + np.asarray(self.force_N) * pq.N, + sampling_rate=rate, + t_start=t_start, + ) + ) + + if self.surface_emg_V is not None: + emg = np.asarray(self.surface_emg_V) + seg.analogsignals.append( + neo.AnalogSignal( + emg.reshape(emg.shape[0], -1) * pq.V, + sampling_rate=rate, + t_start=t_start, + ) + ) + + return block + + def to_nwb(self, path, **kwargs): + """Export to NWB by delegating to the existing exporter via to_neo().""" + from myogen.utils.nwb import export_to_nwb + + return export_to_nwb(self.to_neo(), path, **kwargs) +``` + +- [ ] **Step 4: Run test to verify it passes** + +Run: `uv run pytest tests/kernel/test_result_adapters.py -v` +Expected: PASS (3 passed) + +- [ ] **Step 5: Commit** + +```bash +git add myogen/kernel/result.py tests/kernel/test_result_adapters.py +git commit -m "feat(kernel): add lazy to_neo/to_nwb adapters to SimResult" +``` + +--- + +### Task 7: Backend-seam demo + hot-path import guard + +**Files:** +- Modify: `tests/kernel/_doubles.py` (add a stage that delegates to a Backend) +- Test: `tests/kernel/test_backend_seam.py` +- Test: `tests/kernel/test_hot_path_imports.py` + +This proves (a) a `Stage` can delegate physics to a `Backend` through the driver (the seam holds for the future NEURON/jaxley backends), and (b) the hot-path modules never import neo/quantities at module level. + +- [ ] **Step 1: Write the failing test** + +Append to `tests/kernel/_doubles.py`: + +```python +class BackendStage: + """A Stage that delegates each step to a Backend (the seam pattern).""" + + def __init__(self, backend): + self.backend = backend + + def setup(self, state: SimState) -> None: + self.backend.init(state) + + def step(self, state: SimState, t: int) -> None: + self.backend.advance(state, state.dt_s) +``` + +Create `tests/kernel/test_backend_seam.py`: + +```python +from __future__ import annotations + +import numpy as np + +from myogen.kernel.protocols import Backend, Stage +from myogen.kernel.simulation import Simulation +from tests.kernel._doubles import BackendStage, CountingBackend + + +def test_stage_delegates_to_backend_through_driver(): + backend = CountingBackend() + stage = BackendStage(backend) + assert isinstance(stage, Stage) + assert isinstance(backend, Backend) + + sim = Simulation(stage, n_units=1, dt_s=0.01, n_steps=4) + sim.run() + + # backend.advance ran once per tick, writing its running counter + assert np.array_equal(sim.state.view("counter"), np.array([0.0, 1.0, 2.0, 3.0])) + assert backend.calls[0] == "init" +``` + +Create `tests/kernel/test_hot_path_imports.py`: + +```python +from __future__ import annotations + +from pathlib import Path + +import myogen.kernel.protocols as protocols_mod +import myogen.kernel.simulation as simulation_mod +import myogen.kernel.state as state_mod + +HOT_PATH_MODULES = [state_mod, protocols_mod, simulation_mod] + + +def test_hot_path_modules_have_no_module_level_neo_or_quantities(): + for mod in HOT_PATH_MODULES: + src = Path(mod.__file__).read_text() + for line in src.splitlines(): + stripped = line.strip() + assert not stripped.startswith("import neo"), f"{mod.__name__}: {stripped}" + assert not stripped.startswith("import quantities"), f"{mod.__name__}: {stripped}" + assert not stripped.startswith("from neo"), f"{mod.__name__}: {stripped}" + assert not stripped.startswith("from quantities"), f"{mod.__name__}: {stripped}" + + +def test_result_module_imports_neo_only_lazily(): + # result.py may use neo, but ONLY inside methods (indented), never at module level. + import myogen.kernel.result as result_mod + + src = Path(result_mod.__file__).read_text() + for line in src.splitlines(): + if line.startswith("import neo") or line.startswith("import quantities"): + raise AssertionError(f"module-level import in result.py: {line!r}") +``` + +- [ ] **Step 2: Run test to verify it fails** + +Run: `uv run pytest tests/kernel/test_backend_seam.py -v` +Expected: FAIL with `ImportError: cannot import name 'BackendStage'` (until `_doubles.py` is updated in Step 1 — if Step 1's edit is already saved, this test passes and only the new file matters; run both) + +Run: `uv run pytest tests/kernel/test_hot_path_imports.py -v` +Expected: PASS if the modules were written cleanly (they should be). If it FAILS, a hot-path module is importing neo/quantities at module level — move that import into `result.py` or make it lazy. + +- [ ] **Step 3: Write minimal implementation** + +No production code changes are expected — the seam already works via the existing protocols/driver, and the hot-path modules were written without neo/quantities. If `test_hot_path_imports` fails, fix the offending module by removing/lazying the import. The `BackendStage` double added in Step 1 is the only new code. + +- [ ] **Step 4: Run test to verify it passes** + +Run: `uv run pytest tests/kernel -v` +Expected: PASS (entire kernel suite green) + +- [ ] **Step 5: Commit** + +```bash +git add tests/kernel/_doubles.py tests/kernel/test_backend_seam.py tests/kernel/test_hot_path_imports.py +git commit -m "test(kernel): prove backend seam and hot-path import discipline" +``` + +--- + +## Final verification + +After all tasks: + +```bash +uv run pytest tests/kernel -v +``` + +Expected: all kernel tests pass. The kernel is now a working, CI-testable, backend-agnostic simulation core with no NEURON/jaxley/FEM dependency — ready for the follow-on `NEURONBackend` and real-stage plans. + +## Out of scope (follow-on plans) + +- `NEURONBackend` adapting today's NEURON/NMODL machinery to the `Backend` protocol, with parity tests against the legacy `SimulationRunner`. +- Real stages: `Network` (populations + connectivity spec), `Muscle` (geometry + force backends), `Joint`, `Afferents`, `SurfaceEMG`/`IntramuscularEMG`. +- Spec layer (`RecruitmentThresholds`, drive/stimuli, electrode arrays) and conveniences (`make()`, TOML). +- `JaxleyBackend` and `FEMBackend`. +- Migration shim (`run().to_neo()` ≡ legacy `run()`) and example/script porting. +``` From b3c379a4c68c301d71d7aa0859f36870d06d5906 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Raul=20C=2E=20S=C3=AEmpetru?= Date: Tue, 23 Jun 2026 08:59:20 +0300 Subject: [PATCH 03/60] feat(kernel): add SimState shared buffer --- myogen/kernel/__init__.py | 5 +++++ myogen/kernel/state.py | 43 ++++++++++++++++++++++++++++++++++++++ tests/kernel/__init__.py | 0 tests/kernel/test_state.py | 38 +++++++++++++++++++++++++++++++++ 4 files changed, 86 insertions(+) create mode 100644 myogen/kernel/__init__.py create mode 100644 myogen/kernel/state.py create mode 100644 tests/kernel/__init__.py create mode 100644 tests/kernel/test_state.py diff --git a/myogen/kernel/__init__.py b/myogen/kernel/__init__.py new file mode 100644 index 00000000..f1c688e5 --- /dev/null +++ b/myogen/kernel/__init__.py @@ -0,0 +1,5 @@ +from __future__ import annotations + +from myogen.kernel.state import SimState + +__all__ = ["SimState"] diff --git a/myogen/kernel/state.py b/myogen/kernel/state.py new file mode 100644 index 00000000..f1eeb11e --- /dev/null +++ b/myogen/kernel/state.py @@ -0,0 +1,43 @@ +from __future__ import annotations + +from dataclasses import dataclass, field +from types import ModuleType + +import numpy as np + + +@dataclass +class SimState: + """The shared simulation buffer. + + Single source of truth for a run. Holds named, contiguous SI float arrays. + Stages claim buffers in ``setup()`` and write them in place in ``step()``. + No physical units and no neo objects ever live here — SI is implied. + """ + + n_units: int + dt_s: float + n_steps: int + xp: ModuleType = np + t: int = 0 # current step index, set by the driver each tick + _buffers: dict = field(default_factory=dict, repr=False) + + def alloc(self, name: str, shape: tuple[int, ...], dtype=None): + """Allocate a zeroed buffer and return it. Raises if name is taken.""" + if name in self._buffers: + raise KeyError(f"buffer {name!r} already allocated") + if dtype is None: + dtype = self.xp.float64 + buf = self.xp.zeros(shape, dtype=dtype) + self._buffers[name] = buf + return buf + + def view(self, name: str): + """Return the buffer named ``name`` (the same object, zero-copy).""" + try: + return self._buffers[name] + except KeyError: + raise KeyError(f"no buffer named {name!r}") from None + + def has(self, name: str) -> bool: + return name in self._buffers diff --git a/tests/kernel/__init__.py b/tests/kernel/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/kernel/test_state.py b/tests/kernel/test_state.py new file mode 100644 index 00000000..f1e53ee9 --- /dev/null +++ b/tests/kernel/test_state.py @@ -0,0 +1,38 @@ +from __future__ import annotations + +import numpy as np +import pytest + +from myogen.kernel.state import SimState + + +def test_alloc_returns_zeroed_array_and_view_returns_same_object(): + state = SimState(n_units=4, dt_s=0.001, n_steps=10) + buf = state.alloc("force", (10, 2)) + assert buf.shape == (10, 2) + assert buf.dtype == np.float64 + assert np.all(buf == 0.0) + # view returns the SAME underlying object (zero-copy contract) + assert state.view("force") is buf + assert state.has("force") is True + + +def test_view_missing_buffer_raises_keyerror(): + state = SimState(n_units=1, dt_s=0.001, n_steps=1) + assert state.has("nope") is False + with pytest.raises(KeyError, match="no buffer named 'nope'"): + state.view("nope") + + +def test_double_alloc_raises(): + state = SimState(n_units=1, dt_s=0.001, n_steps=1) + state.alloc("x", (3,)) + with pytest.raises(KeyError, match="already allocated"): + state.alloc("x", (3,)) + + +def test_alloc_respects_dtype_and_xp_default_is_numpy(): + state = SimState(n_units=1, dt_s=0.001, n_steps=1) + assert state.xp is np + buf = state.alloc("spikes", (5, 1), dtype=np.int8) + assert buf.dtype == np.int8 From 7064909ce1e69e14ed600007de2d72b53dd7e4f2 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Raul=20C=2E=20S=C3=AEmpetru?= Date: Tue, 23 Jun 2026 09:02:47 +0300 Subject: [PATCH 04/60] refactor(kernel): annotate SimState.alloc dtype and return type --- myogen/kernel/state.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/myogen/kernel/state.py b/myogen/kernel/state.py index f1eeb11e..fa97f65f 100644 --- a/myogen/kernel/state.py +++ b/myogen/kernel/state.py @@ -2,8 +2,10 @@ from dataclasses import dataclass, field from types import ModuleType +from typing import Any import numpy as np +import numpy.typing as npt @dataclass @@ -22,7 +24,7 @@ class SimState: t: int = 0 # current step index, set by the driver each tick _buffers: dict = field(default_factory=dict, repr=False) - def alloc(self, name: str, shape: tuple[int, ...], dtype=None): + def alloc(self, name: str, shape: tuple[int, ...], dtype: npt.DTypeLike | None = None) -> Any: # -> Any: concrete array type depends on xp (np/jax/torch) """Allocate a zeroed buffer and return it. Raises if name is taken.""" if name in self._buffers: raise KeyError(f"buffer {name!r} already allocated") From 792528d2191892ef50d1ce8e98d75cc30e1d517a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Raul=20C=2E=20S=C3=AEmpetru?= Date: Tue, 23 Jun 2026 09:04:56 +0300 Subject: [PATCH 05/60] feat(kernel): add Stage and Backend protocols --- myogen/kernel/__init__.py | 3 ++- myogen/kernel/protocols.py | 38 ++++++++++++++++++++++++++++++++++ tests/kernel/test_protocols.py | 33 +++++++++++++++++++++++++++++ 3 files changed, 73 insertions(+), 1 deletion(-) create mode 100644 myogen/kernel/protocols.py create mode 100644 tests/kernel/test_protocols.py diff --git a/myogen/kernel/__init__.py b/myogen/kernel/__init__.py index f1c688e5..239931c8 100644 --- a/myogen/kernel/__init__.py +++ b/myogen/kernel/__init__.py @@ -1,5 +1,6 @@ from __future__ import annotations +from myogen.kernel.protocols import Backend, Stage from myogen.kernel.state import SimState -__all__ = ["SimState"] +__all__ = ["SimState", "Stage", "Backend"] diff --git a/myogen/kernel/protocols.py b/myogen/kernel/protocols.py new file mode 100644 index 00000000..be7d8069 --- /dev/null +++ b/myogen/kernel/protocols.py @@ -0,0 +1,38 @@ +from __future__ import annotations + +from typing import Protocol, runtime_checkable + +from myogen.kernel.state import SimState + + +@runtime_checkable +class Stage(Protocol): + """A thin pipeline stage. Owns API/units/validation; writes buffers in place. + + Stages do not return values — they mutate the shared ``SimState``. A stage + that needs physics delegates to a ``Backend`` behind a seam. + """ + + def setup(self, state: SimState) -> None: + """Claim (allocate) the buffers this stage writes.""" + ... + + def step(self, state: SimState, t: int) -> None: + """Advance one tick, writing results into the state buffers in place.""" + ... + + +@runtime_checkable +class Backend(Protocol): + """The thing that actually integrates physics, behind a seam. + + Implementations: NEURONBackend / JaxleyBackend (dynamics seam), + Analytic / Hill / FEM (muscle seam). Not exercised by the kernel itself + beyond protocol conformance — concrete backends are follow-on plans. + """ + + def init(self, state: SimState) -> None: ... + + def advance(self, state: SimState, dt_s: float) -> None: ... + + def teardown(self) -> None: ... diff --git a/tests/kernel/test_protocols.py b/tests/kernel/test_protocols.py new file mode 100644 index 00000000..9603f648 --- /dev/null +++ b/tests/kernel/test_protocols.py @@ -0,0 +1,33 @@ +from __future__ import annotations + +from myogen.kernel.protocols import Backend, Stage +from myogen.kernel.state import SimState + + +class _GoodStage: + def setup(self, state: SimState) -> None: + state.alloc("x", (state.n_steps,)) + + def step(self, state: SimState, t: int) -> None: + state.view("x")[t] = 1.0 + + +class _GoodBackend: + def init(self, state: SimState) -> None: ... + def advance(self, state: SimState, dt_s: float) -> None: ... + def teardown(self) -> None: ... + + +class _NotAStage: + def setup(self, state) -> None: ... + # missing step() + + +def test_stage_protocol_is_runtime_checkable(): + assert isinstance(_GoodStage(), Stage) + assert not isinstance(_NotAStage(), Stage) + + +def test_backend_protocol_is_runtime_checkable(): + assert isinstance(_GoodBackend(), Backend) + assert not isinstance(_GoodStage(), Backend) From ff87b5264b6e3f774a47b0374aa718da18e9b860 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Raul=20C=2E=20S=C3=AEmpetru?= Date: Tue, 23 Jun 2026 09:08:53 +0300 Subject: [PATCH 06/60] feat(kernel): add Simulation lockstep driver --- myogen/kernel/__init__.py | 3 +- myogen/kernel/simulation.py | 52 +++++++++++++++++++++++++++++++++ tests/kernel/_doubles.py | 36 +++++++++++++++++++++++ tests/kernel/test_simulation.py | 26 +++++++++++++++++ 4 files changed, 116 insertions(+), 1 deletion(-) create mode 100644 myogen/kernel/simulation.py create mode 100644 tests/kernel/_doubles.py create mode 100644 tests/kernel/test_simulation.py diff --git a/myogen/kernel/__init__.py b/myogen/kernel/__init__.py index 239931c8..ad35eaec 100644 --- a/myogen/kernel/__init__.py +++ b/myogen/kernel/__init__.py @@ -1,6 +1,7 @@ from __future__ import annotations from myogen.kernel.protocols import Backend, Stage +from myogen.kernel.simulation import Simulation from myogen.kernel.state import SimState -__all__ = ["SimState", "Stage", "Backend"] +__all__ = ["SimState", "Stage", "Backend", "Simulation"] diff --git a/myogen/kernel/simulation.py b/myogen/kernel/simulation.py new file mode 100644 index 00000000..37587aad --- /dev/null +++ b/myogen/kernel/simulation.py @@ -0,0 +1,52 @@ +from __future__ import annotations + +from collections.abc import Callable + +import numpy as np + +from myogen.kernel.state import SimState + + +class Simulation: + """Backend-agnostic driver. Owns dt and the lockstep tick over the stages. + + Stages run in fixed list order each tick. Closed-loop feedback emerges + naturally: a stage that reads a buffer a *later* stage writes sees the + previous tick's value (a one-tick delay where conduction delays live). + """ + + def __init__( + self, + *stages, + n_units: int, + dt_s: float, + n_steps: int, + xp=np, + ): + if not stages: + raise ValueError("Simulation requires at least one stage") + self.stages = list(stages) + self.state = SimState(n_units=n_units, dt_s=dt_s, n_steps=n_steps, xp=xp) + self._callbacks: list[Callable[[SimState, int], None]] = [] + self._setup_done = False + + def on_step(self, fn: Callable[[SimState, int], None]) -> None: + """Register a per-tick callback (closed-loop hook). Gets raw buffers.""" + self._callbacks.append(fn) + + def setup(self) -> None: + for stage in self.stages: + stage.setup(self.state) + self._setup_done = True + + def run(self) -> SimState: + if not self._setup_done: + self.setup() + s = self.state + for t in range(s.n_steps): + s.t = t + for stage in self.stages: + stage.step(s, t) + for cb in self._callbacks: + cb(s, t) + return s diff --git a/tests/kernel/_doubles.py b/tests/kernel/_doubles.py new file mode 100644 index 00000000..d5e8dac1 --- /dev/null +++ b/tests/kernel/_doubles.py @@ -0,0 +1,36 @@ +"""Test doubles for the kernel. Tiny, dependency-free Stage/Backend fakes.""" +from __future__ import annotations + +from myogen.kernel.state import SimState + + +class RampStage: + """Writes t into buffer ``name`` at row t each step (a deterministic ramp).""" + + def __init__(self, name: str = "ramp"): + self.name = name + + def setup(self, state: SimState) -> None: + state.alloc(self.name, (state.n_steps,)) + + def step(self, state: SimState, t: int) -> None: + state.view(self.name)[t] = float(t) + + +class CountingBackend: + """A Backend double that records lifecycle calls and integrates a counter.""" + + def __init__(self): + self.calls: list[str] = [] + self.advances = 0 + + def init(self, state: SimState) -> None: + self.calls.append("init") + state.alloc("counter", (state.n_steps,)) + + def advance(self, state: SimState, dt_s: float) -> None: + state.view("counter")[state.t] = self.advances + self.advances += 1 + + def teardown(self) -> None: + self.calls.append("teardown") diff --git a/tests/kernel/test_simulation.py b/tests/kernel/test_simulation.py new file mode 100644 index 00000000..6679d865 --- /dev/null +++ b/tests/kernel/test_simulation.py @@ -0,0 +1,26 @@ +from __future__ import annotations + +import numpy as np +import pytest + +from myogen.kernel.simulation import Simulation +from tests.kernel._doubles import RampStage + + +def test_run_steps_each_stage_once_per_tick(): + sim = Simulation(RampStage("a"), RampStage("b"), n_units=2, dt_s=0.001, n_steps=5) + state = sim.run() + assert np.array_equal(state.view("a"), np.arange(5, dtype=float)) + assert np.array_equal(state.view("b"), np.arange(5, dtype=float)) + + +def test_run_calls_setup_before_stepping_and_sets_t(): + sim = Simulation(RampStage(), n_units=1, dt_s=0.001, n_steps=3) + state = sim.run() + # final t is the last step index + assert state.t == 2 + + +def test_simulation_requires_at_least_one_stage(): + with pytest.raises(ValueError, match="at least one stage"): + Simulation(n_units=1, dt_s=0.001, n_steps=1) From d7b328041bd586d80edc05eb283c85e1d87f6788 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Raul=20C=2E=20S=C3=AEmpetru?= Date: Tue, 23 Jun 2026 09:12:43 +0300 Subject: [PATCH 07/60] test(kernel): lock one-tick feedback and on_step semantics --- tests/kernel/test_feedback.py | 43 +++++++++++++++++++++++++++++++++++ 1 file changed, 43 insertions(+) create mode 100644 tests/kernel/test_feedback.py diff --git a/tests/kernel/test_feedback.py b/tests/kernel/test_feedback.py new file mode 100644 index 00000000..e73fdfbc --- /dev/null +++ b/tests/kernel/test_feedback.py @@ -0,0 +1,43 @@ +from __future__ import annotations + +import numpy as np + +from myogen.kernel.simulation import Simulation +from myogen.kernel.state import SimState + + +class _Writer: + """Stage B: writes 'signal'[t] = t each tick (runs AFTER the reader).""" + + def setup(self, state: SimState) -> None: + state.alloc("signal", (state.n_steps,)) + + def step(self, state: SimState, t: int) -> None: + state.view("signal")[t] = float(t) + + +class _Reader: + """Stage A: reads 'signal' from the PREVIOUS tick into 'fed_back'.""" + + def setup(self, state: SimState) -> None: + state.alloc("fed_back", (state.n_steps,)) + + def step(self, state: SimState, t: int) -> None: + prev = state.view("signal")[t - 1] if t > 0 else 0.0 + state.view("fed_back")[t] = prev + + +def test_feedback_has_one_tick_delay(): + # Reader runs before Writer, so it sees last tick's signal: a one-tick delay. + sim = Simulation(_Reader(), _Writer(), n_units=1, dt_s=0.001, n_steps=4) + state = sim.run() + # signal = [0,1,2,3]; fed_back = [0, signal[0], signal[1], signal[2]] = [0,0,1,2] + assert np.array_equal(state.view("fed_back"), np.array([0.0, 0.0, 1.0, 2.0])) + + +def test_on_step_callback_runs_each_tick_with_raw_state(): + sim = Simulation(_Writer(), n_units=1, dt_s=0.001, n_steps=3) + seen: list[float] = [] + sim.on_step(lambda s, t: seen.append(float(s.view("signal")[t]))) + sim.run() + assert seen == [0.0, 1.0, 2.0] From 466dff69979fda63b6cb3210b7c18e5695eb5b28 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Raul=20C=2E=20S=C3=AEmpetru?= Date: Tue, 23 Jun 2026 09:16:41 +0300 Subject: [PATCH 08/60] feat(kernel): add SimResult buffer-first snapshot; run() returns it SimResult.from_state() extracts spike times in seconds, copies force and surface EMG arrays, infers grid_shape from EMG buffer dimensions, and handles missing optional buffers gracefully. Simulation.run() now returns SimResult instead of bare SimState; all kernel tests updated to read buffers through sim.state. --- myogen/kernel/__init__.py | 3 +- myogen/kernel/result.py | 53 +++++++++++++++++++++++++++++++++ myogen/kernel/simulation.py | 5 ++-- tests/kernel/test_feedback.py | 4 +-- tests/kernel/test_result.py | 47 +++++++++++++++++++++++++++++ tests/kernel/test_simulation.py | 11 ++++--- 6 files changed, 112 insertions(+), 11 deletions(-) create mode 100644 myogen/kernel/result.py create mode 100644 tests/kernel/test_result.py diff --git a/myogen/kernel/__init__.py b/myogen/kernel/__init__.py index ad35eaec..7cc8b779 100644 --- a/myogen/kernel/__init__.py +++ b/myogen/kernel/__init__.py @@ -1,7 +1,8 @@ from __future__ import annotations from myogen.kernel.protocols import Backend, Stage +from myogen.kernel.result import SimResult from myogen.kernel.simulation import Simulation from myogen.kernel.state import SimState -__all__ = ["SimState", "Stage", "Backend", "Simulation"] +__all__ = ["SimState", "Stage", "Backend", "Simulation", "SimResult"] diff --git a/myogen/kernel/result.py b/myogen/kernel/result.py new file mode 100644 index 00000000..412bb1c6 --- /dev/null +++ b/myogen/kernel/result.py @@ -0,0 +1,53 @@ +from __future__ import annotations + +from dataclasses import dataclass + +import numpy as np + +from myogen.kernel.state import SimState + + +@dataclass(slots=True) +class SimResult: + """Buffer-first results facade. Raw SI float arrays only. + + neo/NWB are opt-in *methods* (not properties) so they never sneak into the + hot path. SI is implied by field-name suffixes (_s, _N, _V). + """ + + spike_times_s: list # list[np.ndarray], one per unit, seconds + force_N: np.ndarray | None + surface_emg_V: np.ndarray | None + dt_s: float + t_start_s: float + n_units: int + grid_shape: tuple[int, ...] | None = None + + @classmethod + def from_state(cls, state: SimState) -> "SimResult": + if state.has("spikes"): + spikes = np.asarray(state.view("spikes")) + spike_times = [ + np.flatnonzero(spikes[:, u]).astype(float) * state.dt_s + for u in range(state.n_units) + ] + else: + spike_times = [np.empty(0) for _ in range(state.n_units)] + + force = np.asarray(state.view("force")) if state.has("force") else None + emg = ( + np.asarray(state.view("surface_emg")) + if state.has("surface_emg") + else None + ) + grid = tuple(emg.shape[1:]) if emg is not None and emg.ndim == 3 else None + + return cls( + spike_times_s=spike_times, + force_N=force, + surface_emg_V=emg, + dt_s=state.dt_s, + t_start_s=0.0, + n_units=state.n_units, + grid_shape=grid, + ) diff --git a/myogen/kernel/simulation.py b/myogen/kernel/simulation.py index 37587aad..9f9d2554 100644 --- a/myogen/kernel/simulation.py +++ b/myogen/kernel/simulation.py @@ -4,6 +4,7 @@ import numpy as np +from myogen.kernel.result import SimResult from myogen.kernel.state import SimState @@ -39,7 +40,7 @@ def setup(self) -> None: stage.setup(self.state) self._setup_done = True - def run(self) -> SimState: + def run(self) -> SimResult: if not self._setup_done: self.setup() s = self.state @@ -49,4 +50,4 @@ def run(self) -> SimState: stage.step(s, t) for cb in self._callbacks: cb(s, t) - return s + return SimResult.from_state(s) diff --git a/tests/kernel/test_feedback.py b/tests/kernel/test_feedback.py index e73fdfbc..1b2bce3a 100644 --- a/tests/kernel/test_feedback.py +++ b/tests/kernel/test_feedback.py @@ -30,9 +30,9 @@ def step(self, state: SimState, t: int) -> None: def test_feedback_has_one_tick_delay(): # Reader runs before Writer, so it sees last tick's signal: a one-tick delay. sim = Simulation(_Reader(), _Writer(), n_units=1, dt_s=0.001, n_steps=4) - state = sim.run() + sim.run() # signal = [0,1,2,3]; fed_back = [0, signal[0], signal[1], signal[2]] = [0,0,1,2] - assert np.array_equal(state.view("fed_back"), np.array([0.0, 0.0, 1.0, 2.0])) + assert np.array_equal(sim.state.view("fed_back"), np.array([0.0, 0.0, 1.0, 2.0])) def test_on_step_callback_runs_each_tick_with_raw_state(): diff --git a/tests/kernel/test_result.py b/tests/kernel/test_result.py new file mode 100644 index 00000000..3a9f3e0b --- /dev/null +++ b/tests/kernel/test_result.py @@ -0,0 +1,47 @@ +from __future__ import annotations + +import numpy as np + +from myogen.kernel.result import SimResult +from myogen.kernel.state import SimState + + +def _state_with_spikes_and_force() -> SimState: + state = SimState(n_units=2, dt_s=0.5, n_steps=4) + spikes = state.alloc("spikes", (4, 2), dtype=np.int8) + spikes[1, 0] = 1 # unit 0 spikes at step 1 -> t = 0.5 s + spikes[3, 1] = 1 # unit 1 spikes at step 3 -> t = 1.5 s + force = state.alloc("force", (4, 1)) + force[:, 0] = [0.0, 1.0, 2.0, 3.0] + state.t = 3 + return state + + +def test_from_state_extracts_spike_times_in_seconds(): + res = SimResult.from_state(_state_with_spikes_and_force()) + assert res.n_units == 2 + assert res.dt_s == 0.5 + assert np.array_equal(res.spike_times_s[0], np.array([0.5])) + assert np.array_equal(res.spike_times_s[1], np.array([1.5])) + + +def test_from_state_copies_force_array(): + res = SimResult.from_state(_state_with_spikes_and_force()) + assert np.array_equal(res.force_N[:, 0], np.array([0.0, 1.0, 2.0, 3.0])) + + +def test_from_state_handles_missing_optional_buffers(): + state = SimState(n_units=3, dt_s=0.001, n_steps=2) + res = SimResult.from_state(state) + assert res.force_N is None + assert res.surface_emg_V is None + assert len(res.spike_times_s) == 3 + for arr in res.spike_times_s: + assert arr.size == 0 + + +def test_from_state_infers_grid_shape_from_emg(): + state = SimState(n_units=1, dt_s=0.001, n_steps=2) + state.alloc("surface_emg", (2, 8, 4)) + res = SimResult.from_state(state) + assert res.grid_shape == (8, 4) diff --git a/tests/kernel/test_simulation.py b/tests/kernel/test_simulation.py index 6679d865..f15a64bd 100644 --- a/tests/kernel/test_simulation.py +++ b/tests/kernel/test_simulation.py @@ -9,16 +9,15 @@ def test_run_steps_each_stage_once_per_tick(): sim = Simulation(RampStage("a"), RampStage("b"), n_units=2, dt_s=0.001, n_steps=5) - state = sim.run() - assert np.array_equal(state.view("a"), np.arange(5, dtype=float)) - assert np.array_equal(state.view("b"), np.arange(5, dtype=float)) + sim.run() + assert np.array_equal(sim.state.view("a"), np.arange(5, dtype=float)) + assert np.array_equal(sim.state.view("b"), np.arange(5, dtype=float)) def test_run_calls_setup_before_stepping_and_sets_t(): sim = Simulation(RampStage(), n_units=1, dt_s=0.001, n_steps=3) - state = sim.run() - # final t is the last step index - assert state.t == 2 + sim.run() + assert sim.state.t == 2 def test_simulation_requires_at_least_one_stage(): From 1e4fe1cc8ef3ddbba286fb3ae4675e44b417e691 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Raul=20C=2E=20S=C3=AEmpetru?= Date: Tue, 23 Jun 2026 09:20:22 +0300 Subject: [PATCH 09/60] fix(kernel): SimResult.from_state copies force/EMG buffers (true snapshot) --- myogen/kernel/result.py | 4 ++-- tests/kernel/test_result.py | 5 ++++- 2 files changed, 6 insertions(+), 3 deletions(-) diff --git a/myogen/kernel/result.py b/myogen/kernel/result.py index 412bb1c6..88dac3b3 100644 --- a/myogen/kernel/result.py +++ b/myogen/kernel/result.py @@ -34,9 +34,9 @@ def from_state(cls, state: SimState) -> "SimResult": else: spike_times = [np.empty(0) for _ in range(state.n_units)] - force = np.asarray(state.view("force")) if state.has("force") else None + force = np.array(state.view("force")) if state.has("force") else None emg = ( - np.asarray(state.view("surface_emg")) + np.array(state.view("surface_emg")) if state.has("surface_emg") else None ) diff --git a/tests/kernel/test_result.py b/tests/kernel/test_result.py index 3a9f3e0b..bde091a9 100644 --- a/tests/kernel/test_result.py +++ b/tests/kernel/test_result.py @@ -26,8 +26,11 @@ def test_from_state_extracts_spike_times_in_seconds(): def test_from_state_copies_force_array(): - res = SimResult.from_state(_state_with_spikes_and_force()) + state = _state_with_spikes_and_force() + res = SimResult.from_state(state) assert np.array_equal(res.force_N[:, 0], np.array([0.0, 1.0, 2.0, 3.0])) + # the snapshot must NOT alias the live SimState buffer + assert not np.shares_memory(res.force_N, state.view("force")) def test_from_state_handles_missing_optional_buffers(): From 0b042fb09c795956042bfc09fe25edf1ca7f3c32 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Raul=20C=2E=20S=C3=AEmpetru?= Date: Tue, 23 Jun 2026 09:22:26 +0300 Subject: [PATCH 10/60] feat(kernel): add lazy to_neo/to_nwb adapters to SimResult --- myogen/kernel/result.py | 50 +++++++++++++++++++++++++ tests/kernel/test_result_adapters.py | 55 ++++++++++++++++++++++++++++ 2 files changed, 105 insertions(+) create mode 100644 tests/kernel/test_result_adapters.py diff --git a/myogen/kernel/result.py b/myogen/kernel/result.py index 88dac3b3..db9c8cc9 100644 --- a/myogen/kernel/result.py +++ b/myogen/kernel/result.py @@ -51,3 +51,53 @@ def from_state(cls, state: SimState) -> "SimResult": n_units=state.n_units, grid_shape=grid, ) + + def to_neo(self): + """Build a neo.Block on demand. neo/quantities imported lazily here only.""" + import neo + import quantities as pq + + n_t = 0 + if self.force_N is not None: + n_t = len(self.force_N) + elif self.surface_emg_V is not None: + n_t = self.surface_emg_V.shape[0] + t_stop = (self.t_start_s + n_t * self.dt_s) * pq.s + rate = (1.0 / self.dt_s) * pq.Hz + t_start = self.t_start_s * pq.s + + block = neo.Block() + seg = neo.Segment() + block.segments.append(seg) + + for times in self.spike_times_s: + seg.spiketrains.append( + neo.SpikeTrain(np.asarray(times) * pq.s, t_stop=t_stop) + ) + + if self.force_N is not None: + seg.analogsignals.append( + neo.AnalogSignal( + np.asarray(self.force_N) * pq.N, + sampling_rate=rate, + t_start=t_start, + ) + ) + + if self.surface_emg_V is not None: + emg = np.asarray(self.surface_emg_V) + seg.analogsignals.append( + neo.AnalogSignal( + emg.reshape(emg.shape[0], -1) * pq.V, + sampling_rate=rate, + t_start=t_start, + ) + ) + + return block + + def to_nwb(self, path, **kwargs): + """Export to NWB by delegating to the existing exporter via to_neo().""" + from myogen.utils.nwb import export_to_nwb + + return export_to_nwb(self.to_neo(), path, **kwargs) diff --git a/tests/kernel/test_result_adapters.py b/tests/kernel/test_result_adapters.py new file mode 100644 index 00000000..5aa05deb --- /dev/null +++ b/tests/kernel/test_result_adapters.py @@ -0,0 +1,55 @@ +from __future__ import annotations + +import numpy as np +import quantities as pq + +from myogen.kernel.result import SimResult + + +def _make_result() -> SimResult: + return SimResult( + spike_times_s=[np.array([0.5]), np.array([1.5])], + force_N=np.array([[0.0], [1.0], [2.0], [3.0]]), + surface_emg_V=np.zeros((4, 2, 2)), + dt_s=0.5, + t_start_s=0.0, + n_units=2, + grid_shape=(2, 2), + ) + + +def test_to_neo_builds_block_with_spiketrains_and_signals(): + block = _make_result().to_neo() + seg = block.segments[0] + assert len(seg.spiketrains) == 2 + assert np.allclose(seg.spiketrains[0].rescale(pq.s).magnitude, [0.5]) + # one force signal (N) + one emg signal (V) + units = {str(sig.units.dimensionality) for sig in seg.analogsignals} + assert "N" in units + assert "V" in units + + +def test_to_neo_force_signal_sampling_rate_matches_dt(): + block = _make_result().to_neo() + force_sig = next( + s for s in block.segments[0].analogsignals + if str(s.units.dimensionality) == "N" + ) + assert np.isclose(force_sig.sampling_rate.rescale(pq.Hz).magnitude, 2.0) # 1/0.5 + + +def test_to_nwb_delegates_to_export_to_nwb(monkeypatch): + captured = {} + + def fake_export(block, path, **kwargs): + captured["block"] = block + captured["path"] = path + return path + + monkeypatch.setattr("myogen.utils.nwb.export_to_nwb", fake_export) + result = _make_result() + out = result.to_nwb("/tmp/out.nwb") + assert out == "/tmp/out.nwb" + assert captured["path"] == "/tmp/out.nwb" + # delegated a real neo.Block built from this result + assert len(captured["block"].segments[0].spiketrains) == 2 From afe1778a71a0de557957eb243f9078b5ee52430b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Raul=20C=2E=20S=C3=AEmpetru?= Date: Tue, 23 Jun 2026 09:25:27 +0300 Subject: [PATCH 11/60] test(kernel): prove backend seam and hot-path import discipline --- tests/kernel/_doubles.py | 13 ++++++++++++ tests/kernel/test_backend_seam.py | 21 +++++++++++++++++++ tests/kernel/test_hot_path_imports.py | 30 +++++++++++++++++++++++++++ 3 files changed, 64 insertions(+) create mode 100644 tests/kernel/test_backend_seam.py create mode 100644 tests/kernel/test_hot_path_imports.py diff --git a/tests/kernel/_doubles.py b/tests/kernel/_doubles.py index d5e8dac1..b7de3c55 100644 --- a/tests/kernel/_doubles.py +++ b/tests/kernel/_doubles.py @@ -34,3 +34,16 @@ def advance(self, state: SimState, dt_s: float) -> None: def teardown(self) -> None: self.calls.append("teardown") + + +class BackendStage: + """A Stage that delegates each step to a Backend (the seam pattern).""" + + def __init__(self, backend): + self.backend = backend + + def setup(self, state: SimState) -> None: + self.backend.init(state) + + def step(self, state: SimState, t: int) -> None: + self.backend.advance(state, state.dt_s) diff --git a/tests/kernel/test_backend_seam.py b/tests/kernel/test_backend_seam.py new file mode 100644 index 00000000..1697c241 --- /dev/null +++ b/tests/kernel/test_backend_seam.py @@ -0,0 +1,21 @@ +from __future__ import annotations + +import numpy as np + +from myogen.kernel.protocols import Backend, Stage +from myogen.kernel.simulation import Simulation +from tests.kernel._doubles import BackendStage, CountingBackend + + +def test_stage_delegates_to_backend_through_driver(): + backend = CountingBackend() + stage = BackendStage(backend) + assert isinstance(stage, Stage) + assert isinstance(backend, Backend) + + sim = Simulation(stage, n_units=1, dt_s=0.01, n_steps=4) + sim.run() + + # backend.advance ran once per tick, writing its running counter + assert np.array_equal(sim.state.view("counter"), np.array([0.0, 1.0, 2.0, 3.0])) + assert backend.calls[0] == "init" diff --git a/tests/kernel/test_hot_path_imports.py b/tests/kernel/test_hot_path_imports.py new file mode 100644 index 00000000..5cf5f31a --- /dev/null +++ b/tests/kernel/test_hot_path_imports.py @@ -0,0 +1,30 @@ +from __future__ import annotations + +from pathlib import Path + +import myogen.kernel.protocols as protocols_mod +import myogen.kernel.simulation as simulation_mod +import myogen.kernel.state as state_mod + +HOT_PATH_MODULES = [state_mod, protocols_mod, simulation_mod] + + +def test_hot_path_modules_have_no_module_level_neo_or_quantities(): + for mod in HOT_PATH_MODULES: + src = Path(mod.__file__).read_text() + for line in src.splitlines(): + stripped = line.strip() + assert not stripped.startswith("import neo"), f"{mod.__name__}: {stripped}" + assert not stripped.startswith("import quantities"), f"{mod.__name__}: {stripped}" + assert not stripped.startswith("from neo"), f"{mod.__name__}: {stripped}" + assert not stripped.startswith("from quantities"), f"{mod.__name__}: {stripped}" + + +def test_result_module_imports_neo_only_lazily(): + # result.py may use neo, but ONLY inside methods (indented), never at module level. + import myogen.kernel.result as result_mod + + src = Path(result_mod.__file__).read_text() + for line in src.splitlines(): + if line.startswith("import neo") or line.startswith("import quantities"): + raise AssertionError(f"module-level import in result.py: {line!r}") From f89e1b5b6a4dd9e124f976d6c648d0b3eaa2ffec Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Raul=20C=2E=20S=C3=AEmpetru?= Date: Tue, 23 Jun 2026 09:31:56 +0300 Subject: [PATCH 12/60] docs(kernel): document SimResult.from_state conventions and numpy boundary --- myogen/kernel/result.py | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/myogen/kernel/result.py b/myogen/kernel/result.py index db9c8cc9..81562566 100644 --- a/myogen/kernel/result.py +++ b/myogen/kernel/result.py @@ -25,6 +25,19 @@ class SimResult: @classmethod def from_state(cls, state: SimState) -> "SimResult": + """Snapshot a SimState into a buffer-first SimResult. + + Conventions: + - ``spikes``: optional buffer of shape ``(n_steps, n_units)`` (nonzero = + spike); spike times are ``nonzero_step_index * dt_s`` seconds per unit. + - ``force``: optional ``(n_steps, n_pools)``; ``surface_emg``: optional + ``(n_steps, n_rows, n_cols)``. + + All copies are made with numpy (host-side). For a non-numpy ``xp`` + backend (jax/torch), move buffers to host first (e.g. ``.block_until_ready()`` + / ``.cpu()``) before calling — ``np.flatnonzero``/``np.array`` assume + concrete host arrays. + """ if state.has("spikes"): spikes = np.asarray(state.view("spikes")) spike_times = [ From 599a758b97c7de02033ac9c7e8fc9e5824bfe483 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Raul=20C=2E=20S=C3=AEmpetru?= Date: Tue, 23 Jun 2026 10:04:56 +0300 Subject: [PATCH 13/60] fix(kernel): cover spike-only to_neo t_stop and make setup idempotent --- myogen/kernel/result.py | 9 ++++++++- myogen/kernel/simulation.py | 2 ++ tests/kernel/test_hot_path_imports.py | 9 +++++++-- tests/kernel/test_result_adapters.py | 16 ++++++++++++++++ tests/kernel/test_simulation.py | 8 ++++++++ 5 files changed, 41 insertions(+), 3 deletions(-) diff --git a/myogen/kernel/result.py b/myogen/kernel/result.py index 81562566..c03d0e5f 100644 --- a/myogen/kernel/result.py +++ b/myogen/kernel/result.py @@ -75,7 +75,14 @@ def to_neo(self): n_t = len(self.force_N) elif self.surface_emg_V is not None: n_t = self.surface_emg_V.shape[0] - t_stop = (self.t_start_s + n_t * self.dt_s) * pq.s + t_stop_s = self.t_start_s + n_t * self.dt_s + # t_stop must cover every spike, even when no force/EMG was recorded + max_spike_s = max( + (float(np.asarray(times).max()) for times in self.spike_times_s if len(times) > 0), + default=0.0, + ) + t_stop_s = max(t_stop_s, max_spike_s) + t_stop = t_stop_s * pq.s rate = (1.0 / self.dt_s) * pq.Hz t_start = self.t_start_s * pq.s diff --git a/myogen/kernel/simulation.py b/myogen/kernel/simulation.py index 9f9d2554..73017b49 100644 --- a/myogen/kernel/simulation.py +++ b/myogen/kernel/simulation.py @@ -36,6 +36,8 @@ def on_step(self, fn: Callable[[SimState, int], None]) -> None: self._callbacks.append(fn) def setup(self) -> None: + if self._setup_done: + return for stage in self.stages: stage.setup(self.state) self._setup_done = True diff --git a/tests/kernel/test_hot_path_imports.py b/tests/kernel/test_hot_path_imports.py index 5cf5f31a..105fb8a1 100644 --- a/tests/kernel/test_hot_path_imports.py +++ b/tests/kernel/test_hot_path_imports.py @@ -26,5 +26,10 @@ def test_result_module_imports_neo_only_lazily(): src = Path(result_mod.__file__).read_text() for line in src.splitlines(): - if line.startswith("import neo") or line.startswith("import quantities"): - raise AssertionError(f"module-level import in result.py: {line!r}") + if ( + line.startswith("import neo") + or line.startswith("import quantities") + or line.startswith("from neo") + or line.startswith("from quantities") + ): + raise AssertionError(f"module-level neo/quantities import in result.py: {line!r}") diff --git a/tests/kernel/test_result_adapters.py b/tests/kernel/test_result_adapters.py index 5aa05deb..5025a969 100644 --- a/tests/kernel/test_result_adapters.py +++ b/tests/kernel/test_result_adapters.py @@ -53,3 +53,19 @@ def fake_export(block, path, **kwargs): assert captured["path"] == "/tmp/out.nwb" # delegated a real neo.Block built from this result assert len(captured["block"].segments[0].spiketrains) == 2 + + +def test_to_neo_spike_only_result_sets_tstop_to_cover_spikes(): + res = SimResult( + spike_times_s=[np.array([0.5, 1.5])], + force_N=None, + surface_emg_V=None, + dt_s=0.5, + t_start_s=0.0, + n_units=1, + grid_shape=None, + ) + block = res.to_neo() # must NOT raise even with no force/EMG buffers + st = block.segments[0].spiketrains[0] + assert st.t_stop.rescale(pq.s).magnitude >= 1.5 + assert np.allclose(st.rescale(pq.s).magnitude, [0.5, 1.5]) diff --git a/tests/kernel/test_simulation.py b/tests/kernel/test_simulation.py index f15a64bd..aa84b2d2 100644 --- a/tests/kernel/test_simulation.py +++ b/tests/kernel/test_simulation.py @@ -23,3 +23,11 @@ def test_run_calls_setup_before_stepping_and_sets_t(): def test_simulation_requires_at_least_one_stage(): with pytest.raises(ValueError, match="at least one stage"): Simulation(n_units=1, dt_s=0.001, n_steps=1) + + +def test_setup_is_idempotent(): + sim = Simulation(RampStage(), n_units=1, dt_s=0.001, n_steps=3) + sim.setup() + sim.setup() # must NOT raise (no double-alloc) + sim.run() + assert sim.state.t == 2 From 7b0c549f3414ed7924bed97255947d3d306b41a2 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Raul=20C=2E=20S=C3=AEmpetru?= Date: Tue, 23 Jun 2026 12:26:10 +0300 Subject: [PATCH 14/60] perf(examples): parallelize watanabe DC-offset Optuna across worker processes Extract simulation logic and constants into _oscillating_dc_helpers.py, add _optimize_dc_worker.py subprocess worker, and rewrite the launch in 02_optimize_oscillating_dc.py to fan out N workers that all write to one shared SQLite Optuna study. Avoids NEURON h singleton / macOS spawn constraints; gallery-safe via conf.py ignore_pattern for the _ files. --- docs/source/conf.py | 2 +- .../watanabe/02_optimize_oscillating_dc.py | 353 +++--------------- .../03_papers/watanabe/_optimize_dc_worker.py | 31 ++ .../watanabe/_oscillating_dc_helpers.py | 341 +++++++++++++++++ 4 files changed, 429 insertions(+), 298 deletions(-) create mode 100644 examples/03_papers/watanabe/_optimize_dc_worker.py create mode 100644 examples/03_papers/watanabe/_oscillating_dc_helpers.py diff --git a/docs/source/conf.py b/docs/source/conf.py index 7b9584b7..24490fb3 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -537,7 +537,7 @@ def format_annotation(annotation, config=None): "filename_pattern": r"\.py", # 14_calibrate_noise_from_real.py needs a private iEMG .mat recording that # isn't available in CI, so it can't be executed by the gallery. - "ignore_pattern": r"14_calibrate_noise_from_real\.py", + "ignore_pattern": r"(14_calibrate_noise_from_real|_oscillating_dc_helpers|_optimize_dc_worker)\.py", "remove_config_comments": True, "within_subsection_order": FileNameSortKey, "show_memory": False, diff --git a/examples/03_papers/watanabe/02_optimize_oscillating_dc.py b/examples/03_papers/watanabe/02_optimize_oscillating_dc.py index 6197a600..06d0072d 100644 --- a/examples/03_papers/watanabe/02_optimize_oscillating_dc.py +++ b/examples/03_papers/watanabe/02_optimize_oscillating_dc.py @@ -56,92 +56,41 @@ import json import os - -os.environ["MPLBACKEND"] = "Agg" -if "DISPLAY" in os.environ: - del os.environ["DISPLAY"] - -import warnings +import subprocess +import sys from pathlib import Path -import joblib import matplotlib.pyplot as plt -import numpy as np import optuna -import quantities as pq -from neo import Block, Segment, SpikeTrain -from neuron import h - -from myogen import get_random_generator, set_random_seed -from myogen.simulator import RecruitmentThresholds -from myogen.simulator.core.force.force_model import ForceModel -from myogen.simulator.neuron import Network -from myogen.simulator.neuron.populations import AlphaMN__Pool, DescendingDrive__Pool -from myogen.utils.helper import calculate_firing_rate_statistics -from myogen.utils.nmodl import load_nmodl_mechanisms - -warnings.filterwarnings("ignore") -plt.style.use("fivethirtyeight") -############################################################################## -# Configuration -# ------------- - -# Simulation parameters -SIMULATION_TIME_MS = 5000.0 # Shorter simulation for efficient optimization -TIMESTEP_MS = 0.1 -N_MOTOR_UNITS = 800 # Watanabe specification - -# Force model parameters -RECORDING_FREQUENCY__HZ = 2048 -LONGEST_DURATION_RISE_TIME__MS = 90.0 -CONTRACTION_TIME_RANGE = 3 - -# Oscillation parameters (Watanabe specification) -OSC_FREQUENCY__HZ = 20.0 # 20 Hz physiological tremor -OSC_AMPLITUDE__HZ = 20.0 # Amplitude of oscillation - -# Optimization settings -N_TRIALS = 25 # Increase for production -TIMEOUT_SECONDS = 3600 - -# Network parameters (Watanabe specification) -N_DD_NEURONS = 400 -DD_CONNECTIVITY = 0.3 -SYNAPTIC_WEIGHT = 0.05 - -# Directories -try: - _script_dir = Path(__file__).parent -except NameError: - _script_dir = Path.cwd() -BASELINE_DIR = _script_dir / "results" / "watanabe_optimization" -RESULTS_DIR = _script_dir / "results" / "watanabe_optimization" -RESULTS_DIR.mkdir(exist_ok=True, parents=True) +sys.path.insert(0, str(Path(__file__).parent)) +from _oscillating_dc_helpers import ( # noqa: E402 + DD_CONNECTIVITY, + MAX_FORCE_N, + N_DD_NEURONS, + N_MOTOR_UNITS, + N_TRIALS, + OSC_AMPLITUDE__HZ, + OSC_FREQUENCY__HZ, + REFERENCE_DRIVE__HZ, + REFERENCE_FORCE__N, + RESULTS_DIR, + STUDY_NAME, + SYNAPTIC_WEIGHT, + TARGET_FORCE__N, + make_storage, + objective, + recruitment_thresholds, +) + +plt.style.use("fivethirtyeight") ############################################################################## -# Load Reference Force Data -# -------------------------- +# Configuration Banner +# -------------------- print("\nLoading Reference Force (Constant Drive)") print("=" * 50) - -reference_file = BASELINE_DIR / "force_reference.json" - -if not reference_file.exists(): - raise FileNotFoundError( - f"Reference force not found: {reference_file}\nRun 01_compute_baseline_force.py first!" - ) - -with open(reference_file, "r") as f: - reference_results = json.load(f) - -# Extract reference force and scaling -REFERENCE_FORCE__N = reference_results["force"]["mean__N"] -REFERENCE_DRIVE__HZ = reference_results["network_parameters"]["dd_drive__Hz"] -TARGET_FORCE__N = REFERENCE_FORCE__N # Match the reference force -MAX_FORCE_N = reference_results["force_scaling"]["max_force__N"] - print(f"Reference force: {REFERENCE_FORCE__N:.2f} N ({REFERENCE_DRIVE__HZ:.1f} Hz constant)") print(f"Target force: {TARGET_FORCE__N:.2f} N (match with oscillation)") print(f"Force scaling: {MAX_FORCE_N:.0f} N maximum") @@ -151,223 +100,18 @@ print("=" * 50 + "\n") ############################################################################## -# Initialize NEURON -# ----------------- - -set_random_seed(42) -load_nmodl_mechanisms() -h.secondorder = 2 - -############################################################################## -# Define Simulation Function -# --------------------------- - - -def run_simulation_with_oscillating_drive(dc_offset, recruitment_thresholds): - """ - Run network simulation with oscillating drive and compute resulting force. - - Drive pattern: dc_offset + OSC_AMPLITUDE * sin(2*pi*OSC_FREQUENCY*t) - - Parameters - ---------- - dc_offset : float - DC offset component of oscillating drive (Hz) - recruitment_thresholds : np.ndarray - Motor unit recruitment thresholds - - Returns - ------- - tuple - (force_mean, n_active, fr_mean, fr_std) - """ - # Create motor neuron pool - motor_neuron_pool = AlphaMN__Pool( - recruitment_thresholds__array=recruitment_thresholds, - config_file="alpha_mn_default.yaml", - ) - - # Create descending drive pool (Poisson - Watanabe specification) - descending_drive_pool = DescendingDrive__Pool( - n=N_DD_NEURONS, - timestep__ms=TIMESTEP_MS * pq.ms, - process_type="poisson", - poisson_batch_size=1, # Order 1 Poisson (Watanabe) - ) - - # Build network - network = Network({"DD": descending_drive_pool, "aMN": motor_neuron_pool}) - network.connect( - source="DD", - target="aMN", - probability=DD_CONNECTIVITY, - weight__uS=SYNAPTIC_WEIGHT * pq.uS, - ) - network.connect_from_external(source="cortical_input", target="DD", weight__uS=1.0 * pq.uS) - dd_netcons = network.get_netcons("cortical_input", "DD") - - # Setup spike recording - mn_spike_recorders = [] - for cell in motor_neuron_pool: - spike_recorder = h.Vector() - nc = h.NetCon(cell.soma(0.5)._ref_v, None, sec=cell.soma) - nc.threshold = 50 - nc.record(spike_recorder) - mn_spike_recorders.append(spike_recorder) - - # Create oscillating drive signal: DC + amplitude * sin(2*pi*freq*t) - time_points = int(SIMULATION_TIME_MS / TIMESTEP_MS) - time_s = np.arange(time_points) * TIMESTEP_MS / 1000.0 - - # Oscillating component - drive_signal = dc_offset + OSC_AMPLITUDE__HZ * np.sin(2 * np.pi * OSC_FREQUENCY__HZ * time_s) - - # Clip to prevent negative firing rates - drive_signal = np.clip(drive_signal, 0, None) - - # Add small noise - drive_signal += np.clip(get_random_generator().normal(0, 1.0, size=time_points), 0, None) - - # Initialize simulation - h.load_file("stdrun.hoc") - h.dt = TIMESTEP_MS - h.tstop = SIMULATION_TIME_MS - - for section, voltage in zip(*motor_neuron_pool.get_initialization_data()): - section.v = voltage - for section, voltage in zip(*descending_drive_pool.get_initialization_data()): - section.v = voltage - - h.finitialize() - - # Run simulation - step_counter = 0 - while h.t < h.tstop: - current_drive = drive_signal[min(step_counter, len(drive_signal) - 1)] - for dd_cell in descending_drive_pool: - if dd_cell.integrate(current_drive): - if h.t < h.tstop: - dd_netcons[dd_cell.pool__ID].event(h.t + 1) - h.fadvance() - step_counter += 1 - - # Convert to Neo format - dt_s = h.dt / 1000.0 - mn_segment = Segment(name="Motor Neurons") - mn_segment.spiketrains = [ - SpikeTrain( - recorder.as_numpy() / 1000 * pq.s, - t_stop=SIMULATION_TIME_MS / 1000 * pq.s, - sampling_rate=(1 / dt_s * pq.Hz), - sampling_period=dt_s * pq.s, - name=f"MN_{i}", - ) - for i, recorder in enumerate(mn_spike_recorders) - ] - - spike_train__Block = Block(name="Motor Unit Pool") - spike_train__Block.segments = [mn_segment] - - # Calculate statistics - n_active = sum(1 for st in mn_segment.spiketrains if len(st) > 1) - stats = calculate_firing_rate_statistics(mn_segment.spiketrains) - fr_mean = float(stats["FR_mean"]) - fr_std = float(stats["FR_std"]) - - # Generate force - force_model = ForceModel( - recruitment_thresholds=recruitment_thresholds, - recording_frequency__Hz=RECORDING_FREQUENCY__HZ * pq.Hz, - longest_duration_rise_time__ms=LONGEST_DURATION_RISE_TIME__MS * pq.ms, - contraction_time_range_factor=CONTRACTION_TIME_RANGE, - ) - - force_output = force_model.generate_force(spike_train__Block=spike_train__Block) - force_raw = force_output.magnitude[:, 0] # Arbitrary units (sum of MU twitches) - - # Normalize force to 0-1 range, then scale to Newtons - # (ForceModel outputs sum of MU twitch forces, not normalized values) - force_max_raw = np.max(force_raw) - force_signal = (force_raw / force_max_raw) * MAX_FORCE_N # Scale to Newtons - - # Calculate steady-state force - steady_idx = len(force_signal) // 2 - force_mean = np.mean(force_signal[steady_idx:]) - - return force_mean, n_active, fr_mean, fr_std - - -############################################################################## -# Define Objective Function -# -------------------------- - -# Generate recruitment thresholds -recruitment_thresholds, _ = RecruitmentThresholds( - N=N_MOTOR_UNITS, - recruitment_range__ratio=100, - deluca__slope=5, - konstantin__max_threshold__ratio=1.0, - mode="combined", -) - - -def objective(trial): - """ - Optimize DC offset to match reference force with oscillation. - - Parameters - ---------- - trial : optuna.Trial - Optimization trial - - Returns - ------- - float - Relative force error (minimize) - """ - try: - # Optimize DC offset (will be lower than constant drive) - dc_offset = trial.suggest_float("dc_offset", 1.0, 100.0) - - # Run simulation with oscillating drive - force_mean, n_active, fr_mean, fr_std = run_simulation_with_oscillating_drive( - dc_offset, recruitment_thresholds - ) - - # Check minimum recruitment - if n_active < 10: # At least 1.25% of neurons - return 1000.0 + (10 - n_active) * 100.0 - - # Calculate relative error - force_error = abs(force_mean - TARGET_FORCE__N) / TARGET_FORCE__N - - # Store metadata - trial.set_user_attr("force_achieved", float(force_mean)) - trial.set_user_attr("force_error", float(force_error)) - trial.set_user_attr("n_active", n_active) - trial.set_user_attr("dc_offset__Hz", float(dc_offset)) - trial.set_user_attr("FR_mean", float(fr_mean)) - trial.set_user_attr("FR_std", float(fr_std)) - - if trial.number % 5 == 0: - print( - f"Trial {trial.number}: " - f"Force={force_mean:.2f}N (target={TARGET_FORCE__N:.2f}N), " - f"Error={force_error:.1%}, " - f"DC={dc_offset:.1f}Hz, " - f"Active={n_active}/{N_MOTOR_UNITS}" - ) - - return force_error - - except Exception as e: - print(f"Trial {trial.number} failed: {e}") - return 1000.0 - - -############################################################################## -# Run Optimization -# ---------------- +# Run Optimization (Parallel Workers) +# ------------------------------------ +# +# Each trial is a fully independent NEURON simulation (~80 s), so we fan out +# across worker *processes*. NEURON's ``h`` object is a process-global singleton +# and cannot be shared across threads. Workers are separate interpreter +# processes (``_optimize_dc_worker.py``) — they do not re-import this gallery +# file, avoiding the macOS ``spawn`` fork-bomb problem. All workers write to a +# single shared SQLite Optuna study. +# +# Override the worker count via ``MYOGEN_OPTUNA_WORKERS`` (e.g. ``=1`` for +# strictly sequential, or a small number on memory-constrained CI). print(f"\nOptimizing DC Offset to Match Reference Force (Oscillating Drive)") print("=" * 50) @@ -378,16 +122,30 @@ def objective(trial): colors = plt.rcParams["axes.prop_cycle"].by_key()["color"] -storage_name = f"sqlite:///{RESULTS_DIR}/optuna_oscillating_dc.db" study = optuna.create_study( direction="minimize", sampler=optuna.samplers.TPESampler(seed=42), - study_name="dc_offset_oscillating_match", - storage=storage_name, + study_name=STUDY_NAME, + storage=make_storage(), load_if_exists=True, ) -study.optimize(objective, n_trials=N_TRIALS, timeout=TIMEOUT_SECONDS, show_progress_bar=True) +n_workers = int(os.environ.get("MYOGEN_OPTUNA_WORKERS", min(8, N_TRIALS))) +n_workers = max(1, min(n_workers, N_TRIALS)) + +per_worker = [N_TRIALS // n_workers + (1 if i < N_TRIALS % n_workers else 0) for i in range(n_workers)] +worker_script = str(Path(__file__).parent / "_optimize_dc_worker.py") +print(f"Launching {n_workers} worker process(es): trial split {per_worker}") +procs = [ + subprocess.Popen([sys.executable, worker_script, "--n-trials", str(n), "--seed", str(42 + i)]) + for i, n in enumerate(per_worker) if n > 0 +] +exit_codes = [p.wait() for p in procs] +if any(code != 0 for code in exit_codes): + raise RuntimeError(f"Optuna worker(s) failed with exit codes {exit_codes}") + +# Reload to see all trials written by the workers +study = optuna.load_study(study_name=STUDY_NAME, storage=make_storage()) ############################################################################## # Analyze Results @@ -444,6 +202,7 @@ def objective(trial): with open(json_path, "w") as f: json.dump(results, f, indent=2) +import joblib joblib.dump(study, RESULTS_DIR / "study_oscillating_dc.pkl") print(f"\nSaved results: {json_path}") diff --git a/examples/03_papers/watanabe/_optimize_dc_worker.py b/examples/03_papers/watanabe/_optimize_dc_worker.py new file mode 100644 index 00000000..4c061dc2 --- /dev/null +++ b/examples/03_papers/watanabe/_optimize_dc_worker.py @@ -0,0 +1,31 @@ +"""Internal worker: run N Optuna trials against the shared study. Not a gallery example.""" +import argparse +import sys +from pathlib import Path + +sys.path.insert(0, str(Path(__file__).parent)) + +import optuna # noqa: E402 + +from _oscillating_dc_helpers import ( # noqa: E402 + STUDY_NAME, + make_storage, + objective, +) +from myogen import set_random_seed # noqa: E402 + + +def main() -> None: + parser = argparse.ArgumentParser() + parser.add_argument("--n-trials", type=int, required=True) + parser.add_argument("--seed", type=int, default=42) + args = parser.parse_args() + # Decorrelate per-worker membrane/drive noise; thresholds were already built at + # import under seed 42 so they stay identical across workers. + set_random_seed(args.seed) + study = optuna.load_study(study_name=STUDY_NAME, storage=make_storage()) + study.optimize(objective, n_trials=args.n_trials) + + +if __name__ == "__main__": + main() diff --git a/examples/03_papers/watanabe/_oscillating_dc_helpers.py b/examples/03_papers/watanabe/_oscillating_dc_helpers.py new file mode 100644 index 00000000..96938d90 --- /dev/null +++ b/examples/03_papers/watanabe/_oscillating_dc_helpers.py @@ -0,0 +1,341 @@ +""" +Internal helpers for 02_optimize_oscillating_dc.py. + +Not a gallery example — imported by 02_optimize_oscillating_dc.py and +_optimize_dc_worker.py. Contains all simulation logic, configuration +constants, and Optuna storage helpers so that both the gallery script and +the worker subprocesses share exactly one copy of the code. +""" + +import json +import os + +os.environ["MPLBACKEND"] = "Agg" +if "DISPLAY" in os.environ: + del os.environ["DISPLAY"] + +import warnings +from pathlib import Path + +import numpy as np +import optuna +import quantities as pq +from neo import Block, Segment, SpikeTrain +from neuron import h + +from myogen import get_random_generator, set_random_seed +from myogen.simulator import RecruitmentThresholds +from myogen.simulator.core.force.force_model import ForceModel +from myogen.simulator.neuron import Network +from myogen.simulator.neuron.populations import AlphaMN__Pool, DescendingDrive__Pool +from myogen.utils.helper import calculate_firing_rate_statistics +from myogen.utils.nmodl import load_nmodl_mechanisms + +warnings.filterwarnings("ignore") + +############################################################################## +# Configuration +# ------------- + +# Simulation parameters +SIMULATION_TIME_MS = 5000.0 # Shorter simulation for efficient optimization +TIMESTEP_MS = 0.1 +N_MOTOR_UNITS = 800 # Watanabe specification + +# Force model parameters +RECORDING_FREQUENCY__HZ = 2048 +LONGEST_DURATION_RISE_TIME__MS = 90.0 +CONTRACTION_TIME_RANGE = 3 + +# Oscillation parameters (Watanabe specification) +OSC_FREQUENCY__HZ = 20.0 # 20 Hz physiological tremor +OSC_AMPLITUDE__HZ = 20.0 # Amplitude of oscillation + +# Optimization settings +N_TRIALS = 25 # Increase for production +TIMEOUT_SECONDS = 3600 + +# Network parameters (Watanabe specification) +N_DD_NEURONS = 400 +DD_CONNECTIVITY = 0.3 +SYNAPTIC_WEIGHT = 0.05 + +# Directories +RESULTS_DIR = Path(__file__).parent / "results" / "watanabe_optimization" +RESULTS_DIR.mkdir(exist_ok=True, parents=True) + +############################################################################## +# Load Reference Force Data +# -------------------------- + +_reference_file = RESULTS_DIR / "force_reference.json" + +if not _reference_file.exists(): + raise FileNotFoundError( + f"Reference force not found: {_reference_file}\nRun 01_compute_baseline_force.py first!" + ) + +with open(_reference_file, "r") as _f: + _reference_results = json.load(_f) + +REFERENCE_FORCE__N = _reference_results["force"]["mean__N"] +REFERENCE_DRIVE__HZ = _reference_results["network_parameters"]["dd_drive__Hz"] +TARGET_FORCE__N = REFERENCE_FORCE__N # Match the reference force +MAX_FORCE_N = _reference_results["force_scaling"]["max_force__N"] + +############################################################################## +# Initialize NEURON +# ----------------- + +set_random_seed(42) +load_nmodl_mechanisms() +h.secondorder = 2 + +############################################################################## +# Simulation Function +# ------------------- + + +def run_simulation_with_oscillating_drive(dc_offset, recruitment_thresholds): + """ + Run network simulation with oscillating drive and compute resulting force. + + Drive pattern: dc_offset + OSC_AMPLITUDE * sin(2*pi*OSC_FREQUENCY*t) + + Parameters + ---------- + dc_offset : float + DC offset component of oscillating drive (Hz) + recruitment_thresholds : np.ndarray + Motor unit recruitment thresholds + + Returns + ------- + tuple + (force_mean, n_active, fr_mean, fr_std) + """ + # Create motor neuron pool + motor_neuron_pool = AlphaMN__Pool( + recruitment_thresholds__array=recruitment_thresholds, + config_file="alpha_mn_default.yaml", + ) + + # Create descending drive pool (Poisson - Watanabe specification) + descending_drive_pool = DescendingDrive__Pool( + n=N_DD_NEURONS, + timestep__ms=TIMESTEP_MS * pq.ms, + process_type="poisson", + poisson_batch_size=1, # Order 1 Poisson (Watanabe) + ) + + # Build network + network = Network({"DD": descending_drive_pool, "aMN": motor_neuron_pool}) + network.connect( + source="DD", + target="aMN", + probability=DD_CONNECTIVITY, + weight__uS=SYNAPTIC_WEIGHT * pq.uS, + ) + network.connect_from_external(source="cortical_input", target="DD", weight__uS=1.0 * pq.uS) + dd_netcons = network.get_netcons("cortical_input", "DD") + + # Setup spike recording + mn_spike_recorders = [] + for cell in motor_neuron_pool: + spike_recorder = h.Vector() + nc = h.NetCon(cell.soma(0.5)._ref_v, None, sec=cell.soma) + nc.threshold = 50 + nc.record(spike_recorder) + mn_spike_recorders.append(spike_recorder) + + # Create oscillating drive signal: DC + amplitude * sin(2*pi*freq*t) + time_points = int(SIMULATION_TIME_MS / TIMESTEP_MS) + time_s = np.arange(time_points) * TIMESTEP_MS / 1000.0 + + # Oscillating component + drive_signal = dc_offset + OSC_AMPLITUDE__HZ * np.sin(2 * np.pi * OSC_FREQUENCY__HZ * time_s) + + # Clip to prevent negative firing rates + drive_signal = np.clip(drive_signal, 0, None) + + # Add small noise + drive_signal += np.clip(get_random_generator().normal(0, 1.0, size=time_points), 0, None) + + # Initialize simulation + h.load_file("stdrun.hoc") + h.dt = TIMESTEP_MS + h.tstop = SIMULATION_TIME_MS + + for section, voltage in zip(*motor_neuron_pool.get_initialization_data()): + section.v = voltage + for section, voltage in zip(*descending_drive_pool.get_initialization_data()): + section.v = voltage + + h.finitialize() + + # Run simulation + step_counter = 0 + while h.t < h.tstop: + current_drive = drive_signal[min(step_counter, len(drive_signal) - 1)] + for dd_cell in descending_drive_pool: + if dd_cell.integrate(current_drive): + if h.t < h.tstop: + dd_netcons[dd_cell.pool__ID].event(h.t + 1) + h.fadvance() + step_counter += 1 + + # Convert to Neo format + dt_s = h.dt / 1000.0 + mn_segment = Segment(name="Motor Neurons") + mn_segment.spiketrains = [ + SpikeTrain( + recorder.as_numpy() / 1000 * pq.s, + t_stop=SIMULATION_TIME_MS / 1000 * pq.s, + sampling_rate=(1 / dt_s * pq.Hz), + sampling_period=dt_s * pq.s, + name=f"MN_{i}", + ) + for i, recorder in enumerate(mn_spike_recorders) + ] + + spike_train__Block = Block(name="Motor Unit Pool") + spike_train__Block.segments = [mn_segment] + + # Calculate statistics + n_active = sum(1 for st in mn_segment.spiketrains if len(st) > 1) + stats = calculate_firing_rate_statistics(mn_segment.spiketrains) + fr_mean = float(stats["FR_mean"]) + fr_std = float(stats["FR_std"]) + + # Generate force + force_model = ForceModel( + recruitment_thresholds=recruitment_thresholds, + recording_frequency__Hz=RECORDING_FREQUENCY__HZ * pq.Hz, + longest_duration_rise_time__ms=LONGEST_DURATION_RISE_TIME__MS * pq.ms, + contraction_time_range_factor=CONTRACTION_TIME_RANGE, + ) + + force_output = force_model.generate_force(spike_train__Block=spike_train__Block) + force_raw = force_output.magnitude[:, 0] # Arbitrary units (sum of MU twitches) + + # Normalize force to 0-1 range, then scale to Newtons + # (ForceModel outputs sum of MU twitch forces, not normalized values) + force_max_raw = np.max(force_raw) + force_signal = (force_raw / force_max_raw) * MAX_FORCE_N # Scale to Newtons + + # Calculate steady-state force + steady_idx = len(force_signal) // 2 + force_mean = np.mean(force_signal[steady_idx:]) + + return force_mean, n_active, fr_mean, fr_std + + +############################################################################## +# Recruitment Thresholds (module global — built once under seed 42) +# ----------------------------------------------------------------- + +recruitment_thresholds, _ = RecruitmentThresholds( + N=N_MOTOR_UNITS, + recruitment_range__ratio=100, + deluca__slope=5, + konstantin__max_threshold__ratio=1.0, + mode="combined", +) + +############################################################################## +# Objective Function +# ------------------ + + +def objective(trial): + """ + Optimize DC offset to match reference force with oscillation. + + Parameters + ---------- + trial : optuna.Trial + Optimization trial + + Returns + ------- + float + Relative force error (minimize) + """ + try: + # Optimize DC offset (will be lower than constant drive) + dc_offset = trial.suggest_float("dc_offset", 1.0, 100.0) + + # Run simulation with oscillating drive + force_mean, n_active, fr_mean, fr_std = run_simulation_with_oscillating_drive( + dc_offset, recruitment_thresholds + ) + + # Check minimum recruitment + if n_active < 10: # At least 1.25% of neurons + return 1000.0 + (10 - n_active) * 100.0 + + # Calculate relative error + force_error = abs(force_mean - TARGET_FORCE__N) / TARGET_FORCE__N + + # Store metadata + trial.set_user_attr("force_achieved", float(force_mean)) + trial.set_user_attr("force_error", float(force_error)) + trial.set_user_attr("n_active", n_active) + trial.set_user_attr("dc_offset__Hz", float(dc_offset)) + trial.set_user_attr("FR_mean", float(fr_mean)) + trial.set_user_attr("FR_std", float(fr_std)) + + if trial.number % 5 == 0: + print( + f"Trial {trial.number}: " + f"Force={force_mean:.2f}N (target={TARGET_FORCE__N:.2f}N), " + f"Error={force_error:.1%}, " + f"DC={dc_offset:.1f}Hz, " + f"Active={n_active}/{N_MOTOR_UNITS}" + ) + + return force_error + + except Exception as e: + print(f"Trial {trial.number} failed: {e}") + return 1000.0 + + +############################################################################## +# Optuna Study Config + Storage +# ------------------------------ + +STUDY_NAME = "dc_offset_oscillating_match" +STORAGE_URL = f"sqlite:///{RESULTS_DIR}/optuna_oscillating_dc.db" + + +def make_storage(): + """Return an RDBStorage with a generous lock timeout for concurrent workers.""" + # connect timeout reduces "database is locked" under concurrent workers + return optuna.storages.RDBStorage(STORAGE_URL, engine_kwargs={"connect_args": {"timeout": 60}}) + + +############################################################################## +# Public API +# ---------- + +__all__ = [ + "objective", + "recruitment_thresholds", + "STUDY_NAME", + "STORAGE_URL", + "make_storage", + "RESULTS_DIR", + "N_TRIALS", + "TIMEOUT_SECONDS", + "REFERENCE_FORCE__N", + "REFERENCE_DRIVE__HZ", + "TARGET_FORCE__N", + "MAX_FORCE_N", + "N_MOTOR_UNITS", + "OSC_FREQUENCY__HZ", + "OSC_AMPLITUDE__HZ", + "N_DD_NEURONS", + "DD_CONNECTIVITY", + "SYNAPTIC_WEIGHT", +] From 205f27f6ddc2bba7eba5566fdf2f78e423d2654a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Raul=20C=2E=20S=C3=AEmpetru?= Date: Tue, 23 Jun 2026 13:12:17 +0300 Subject: [PATCH 15/60] build: declare h5py in the nwb extra Example 14 (calibrate_noise_from_real) imports h5py directly to load real recordings, but it was only available transitively. Declaring it in the nwb extra makes 'uv sync --extra nwb' sufficient to run the NWB/HDF5 examples (11, 13, 14). --- pyproject.toml | 1 + uv.lock | 2 ++ 2 files changed, 3 insertions(+) diff --git a/pyproject.toml b/pyproject.toml index 7ca3ac90..a2cddfcd 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -54,6 +54,7 @@ dependencies = [ nwb = [ "pynwb>=2.8.0", "nwbinspector>=0.5.0", + "h5py>=3.0", ] gpu = [ "cupy-cuda12x>=13.0,<14", diff --git a/uv.lock b/uv.lock index 940b4c42..51b019df 100644 --- a/uv.lock +++ b/uv.lock @@ -1066,6 +1066,7 @@ gpu = [ { name = "cupy-cuda12x" }, ] nwb = [ + { name = "h5py" }, { name = "nwbinspector" }, { name = "pynwb" }, ] @@ -1100,6 +1101,7 @@ docs = [ requires-dist = [ { name = "beartype", specifier = ">=0.21.0" }, { name = "cupy-cuda12x", marker = "extra == 'gpu'", specifier = ">=13.0,<14" }, + { name = "h5py", marker = "extra == 'nwb'", specifier = ">=3.0" }, { name = "joblib", specifier = ">=1.3" }, { name = "matplotlib", specifier = ">=3.10.1" }, { name = "neo", specifier = ">=0.14.0" }, From d8762a3ca46dd26fba68491dac7dbf3cf8a6a2a6 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Raul=20C=2E=20S=C3=AEmpetru?= Date: Tue, 23 Jun 2026 13:31:43 +0300 Subject: [PATCH 16/60] docs: add mkdocs/properdocs migration design proposal --- ...6-23-mkdocs-properdocs-migration-design.md | 62 +++++++++++++++++++ 1 file changed, 62 insertions(+) create mode 100644 docs/superpowers/specs/2026-06-23-mkdocs-properdocs-migration-design.md diff --git a/docs/superpowers/specs/2026-06-23-mkdocs-properdocs-migration-design.md b/docs/superpowers/specs/2026-06-23-mkdocs-properdocs-migration-design.md new file mode 100644 index 00000000..c10c2929 --- /dev/null +++ b/docs/superpowers/specs/2026-06-23-mkdocs-properdocs-migration-design.md @@ -0,0 +1,62 @@ +# MyoGen docs migration: Sphinx → properdocs (MkDocs) + mkdocs-gallery + +**Status:** Design proposal (approved). Lands on `feat/puffer-api`. +**Date:** 2026-06-23 + +## Goal + +Replace MyoGen's Sphinx documentation stack with **properdocs** (NsquaredLab's mkdocs-material + mkdocstrings wrapper, as used by MyoGestic and Virtual-Hand-Interface), while **keeping the executed example gallery** via the **mkdocs-gallery** plugin. End state: `properdocs build` produces the complete site, examples still auto-execute and render their plots, and CI deploys to GitHub Pages. + +## Why + +Consistency with the other NsquaredLab projects (MyoGestic, VHI) which all use properdocs. properdocs is a thin mkdocs fork (`config.load_config` + `cfg.plugins`), on PyPI (1.6.7), and supports arbitrary mkdocs plugins — so mkdocs-gallery can be added to keep the executed gallery that sphinx-gallery currently provides. + +## Non-goals + +- Rewriting example *content* — the `# %%`-delimited scripts are mkdocs-gallery-compatible and stay as-is (only the gallery engine changes). +- Changing the public API or any `myogen/` code. + +## Architecture + +### Tooling +- New **`properdocs.yml`** at repo root (mkdocs config format), mirroring MyoGestic's: `theme: material` (custom palette, Inter/JetBrains Mono fonts, navigation features), `plugins: [search, section-index, mkdocstrings, gallery]`, and the same `markdown_extensions` (admonition, pymdownx.*, toc permalink, mermaid superfence). +- `pyproject.toml` `docs` extra: **remove** `sphinx`, `sphinx-gallery`, `pydata-sphinx-theme`, `sphinx-design`, `sphinx-hoverxref`, `sphinxcontrib-mermaid`, `sphinx-autodoc-typehints`, `enum-tools[sphinx]`, `rinohtype`, `roman`, `toml`, `linkify-it-py`, `memory-profiler`. **Add** `properdocs`, `mkdocs-material>=9.5`, `mkdocstrings[python]>=0.27`, `mkdocs-section-index>=0.3`, `mkdocs-gallery`. Keep `pynwb`/`nwbinspector` only if still referenced (NWB lives in the `nwb` extra; example execution syncs both extras in CI). + +### Content layout (flat `docs/`, no `source/`) +- `docs/index.md` — home (from existing `docs/source/index.md`). +- `docs/getting-started.md` — quick start. +- `docs/neo-blocks.md` — from `docs/source/neo_blocks_guide.rst`. +- `docs/api/index.md` + `docs/api/{core,simulator,neuron,currents,utils,plotting,types}.md` — converted from the 8 rst `autosummary` pages to **mkdocstrings `:::` blocks**, preserving the section headings. mkdocstrings options mirror MyoGestic (numpy docstrings, `show_root_heading`, `merge_init_into_class`, `filters: ["!^_"]`). +- `nav:` in `properdocs.yml` lists Home / Getting Started / Neo blocks / Examples (gallery) / API reference. +- **`exclude_docs:`** in the config globs out `superpowers/` so the brainstorming specs/plans under `docs/superpowers/` are not built as site pages. +- Static assets (logo, any custom CSS) migrated from `docs/source/_static/` to `docs/` (e.g. `docs/stylesheets/`, `docs/images/`). + +### Executed gallery (mkdocs-gallery) +- The `gallery` plugin block in `properdocs.yml` ports the current `sphinx_gallery_conf` ~1:1: + - `examples_dirs: [examples/01_basic, examples/02_finetune, examples/03_papers/watanabe]` + - `gallery_dirs: [docs/auto_examples/01_basic, docs/auto_examples/02_finetune, docs/auto_examples/03_papers/watanabe]` (generated; gitignored) + - `filename_pattern: "\\.py"`, `ignore_pattern: "(14_calibrate_noise_from_real|_oscillating_dc_helpers|_optimize_dc_worker)\\.py"` + - `within_subsection_order: FileNameSortKey`, explicit subsection order, `plot_gallery: True`, `image_scrapers: matplotlib`. + - `reset_modules`: the existing `reset_neuron(gallery_conf, fname)` (resets NEURON `h` state between examples), moved to **`docs/gallery_conf.py`** and referenced from the plugin config. +- The generated `auto_examples/` tree is added to `.gitignore` and to the nav (or surfaced via section-index). + +### CI +- Delete `.github/workflows/sphinx.yml`; add `.github/workflows/docs.yml` mirroring MyoGestic's: build job runs `uv sync --locked --extra docs --extra nwb` (so NEURON + example deps are present and the gallery can execute), then `uv run --locked --extra docs --extra nwb properdocs build`, uploads the `site/` Pages artifact; deploy job publishes to GitHub Pages on push to `main` (PRs build-only). Concurrency group `pages`. + +### Removal +Delete `docs/source/conf.py`, `docs/source/examples.rst`, `docs/source/api/*.rst`, `docs/source/index.rst.backup`, `docs/source/neo_blocks_guide.rst` (after conversion), `docs/source/templates/`, `docs/Makefile`, `docs/make.bat`, and the Sphinx `_static`/`source/` scaffolding once content is migrated. + +## Verification + +1. `uv sync --extra docs --extra nwb` resolves. +2. `properdocs build` with the gallery temporarily set to `plot_gallery: False` → confirms config/theme/nav/mkdocstrings all resolve fast (no example execution). Open `site/index.html`. +3. Full `properdocs build` (gallery executes; watanabe/02 now ~139s) → confirms examples render with plots. Open the built gallery pages. +4. mkdocstrings resolves every API symbol (requires a full `import myogen`, which needs NEURON — present via the synced extras). +5. Show the rendered site to the user at each checkpoint. + +## Risks / mitigations + +- **mkdocs-gallery ↔ properdocs**: properdocs is mkdocs-based and infers deps from the `plugins:` list, so the `gallery` plugin should load; verified at build time in step 2/3. +- **CI build time**: executing the gallery is the same cost as today's sphinx CI; the slowest example (watanabe/02) is now 5× faster. The `14`/helper/worker ignores keep non-executable scripts out. +- **`docs/superpowers/` leaking into the site**: handled by `exclude_docs`. +- **mkdocstrings import failures**: any optional dep referenced by an API symbol must be installed in the build env — covered by syncing `--extra docs --extra nwb`. From c147bb5165a76b7b9e47caf18a639bffbf18ef30 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Raul=20C=2E=20S=C3=AEmpetru?= Date: Tue, 23 Jun 2026 13:35:07 +0300 Subject: [PATCH 17/60] docs: add mkdocs/properdocs migration implementation plan --- .../2026-06-23-mkdocs-properdocs-migration.md | 696 ++++++++++++++++++ 1 file changed, 696 insertions(+) create mode 100644 docs/superpowers/plans/2026-06-23-mkdocs-properdocs-migration.md diff --git a/docs/superpowers/plans/2026-06-23-mkdocs-properdocs-migration.md b/docs/superpowers/plans/2026-06-23-mkdocs-properdocs-migration.md new file mode 100644 index 00000000..e293b8a7 --- /dev/null +++ b/docs/superpowers/plans/2026-06-23-mkdocs-properdocs-migration.md @@ -0,0 +1,696 @@ +# MyoGen Docs → properdocs (MkDocs) Migration Plan + +> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking. + +**Goal:** Replace MyoGen's Sphinx docs with properdocs (mkdocs-material + mkdocstrings) while keeping the executed example gallery via mkdocs-gallery; CI deploys to GitHub Pages. + +**Architecture:** A repo-root `properdocs.yml` (mkdocs config) drives a `material` theme, `mkdocstrings` API pages, and a `gallery` plugin that executes the `examples/` scripts. Content is flat markdown under `docs/`; `docs/superpowers/` is excluded from the build. A `docs.yml` GitHub workflow runs `properdocs build` (executing the gallery) and deploys. + +**Tech Stack:** properdocs 1.6.x, mkdocs-material, mkdocstrings[python], mkdocs-section-index, mkdocs-gallery; uv for env management. + +**Reference:** mirror `/Users/oj98yqyk/code/MyoGestic-main/properdocs.yml` and `.github/workflows/docs.yml`. Source spec: `docs/superpowers/specs/2026-06-23-mkdocs-properdocs-migration-design.md`. + +**Verification model:** there are no pytest tests here — each task's "test" is a build/inspection. The canonical fast build (no example execution) is: + +```bash +cd /Users/oj98yqyk/code/MyoGen +MKDOCS_GALLERY_PLOT=false uv run --extra docs --extra nwb properdocs build 2>&1 | tail -30 +``` + +(Until the gallery plugin exists, drop the env var.) "Open the site" means `open site/index.html`. + +--- + +### Task 1: Swap the `docs` extra in pyproject.toml + +**Files:** Modify `pyproject.toml` (the `docs = [...]` block, ~lines 82-100); Modify `uv.lock`. + +- [ ] **Step 1: Replace the docs extra** + +In `pyproject.toml`, replace the entire `docs = [ ... ]` list under `[project.optional-dependencies]` with: + +```toml +docs = [ + "properdocs>=1.6.7", + "mkdocs-material>=9.5", + "mkdocstrings[python]>=0.27", + "mkdocs-section-index>=0.3", + "mkdocs-gallery>=0.10", +] +``` + +(The `nwb` extra already carries `pynwb`/`nwbinspector`/`h5py`; example execution syncs `--extra docs --extra nwb` together. Sphinx deps are removed.) + +- [ ] **Step 2: Lock and verify resolution** + +Run: +```bash +uv lock 2>&1 | tail -3 +uv sync --extra docs --extra nwb 2>&1 | tail -5 +``` +Expected: `uv lock` resolves; `uv sync` installs properdocs + mkdocs-material + mkdocstrings + mkdocs-section-index + mkdocs-gallery with no error. Confirm the binary exists: +```bash +uv run properdocs --version +``` +Expected: prints a version (e.g. `properdocs, version 1.6.7`). + +- [ ] **Step 3: Commit** + +```bash +git add pyproject.toml uv.lock +git commit -m "build(docs): swap Sphinx stack for properdocs + mkdocs-gallery" +``` + +--- + +### Task 2: properdocs.yml skeleton + home page (theme/nav, no gallery yet) + +**Files:** Create `properdocs.yml`; Create `docs/index.md` (temporary minimal home, replaced in Task 4); Modify `.gitignore`. + +- [ ] **Step 1: Create `properdocs.yml`** + +Create `properdocs.yml` at the repo root (adapted from MyoGestic's; gallery plugin added in Task 5): + +```yaml +site_name: MyoGen +site_description: Modular neuromuscular simulation framework for motor-unit activity, force, and EMG. +site_url: https://nsquaredlab.github.io/MyoGen/ +repo_url: https://github.com/NsquaredLab/MyoGen +repo_name: MyoGen +edit_uri: edit/main/docs/ +copyright: Copyright © 2025-2026 n-squared lab, FAU Erlangen-Nürnberg + +# superpowers specs/plans live under docs/ but are not site pages +exclude_docs: | + superpowers/ + +theme: + name: material + features: + - navigation.instant + - navigation.tracking + - navigation.tabs + - navigation.tabs.sticky + - navigation.sections + - navigation.indexes + - navigation.top + - search.suggest + - search.highlight + - content.code.copy + - content.code.annotate + - toc.follow + palette: + - media: "(prefers-color-scheme: light)" + scheme: default + primary: white + accent: indigo + toggle: + icon: material/brightness-7 + name: Switch to dark mode + - media: "(prefers-color-scheme: dark)" + scheme: slate + primary: black + accent: indigo + toggle: + icon: material/brightness-4 + name: Switch to light mode + font: + text: Inter + code: JetBrains Mono + icon: + repo: fontawesome/brands/github + +plugins: + - search + - section-index + - mkdocstrings: + handlers: + python: + paths: [.] + inventories: + - https://docs.python.org/3/objects.inv + - https://numpy.org/doc/stable/objects.inv + - https://docs.scipy.org/doc/scipy/objects.inv + options: + docstring_style: numpy + show_source: true + show_root_heading: true + show_root_full_path: false + members_order: source + separate_signature: true + show_signature_annotations: true + signature_crossrefs: true + merge_init_into_class: true + heading_level: 2 + filters: + - "!^_" + +markdown_extensions: + - admonition + - attr_list + - def_list + - md_in_html + - tables + - toc: + permalink: true + - pymdownx.details + - pymdownx.superfences: + custom_fences: + - name: mermaid + class: mermaid + format: !!python/name:pymdownx.superfences.fence_code_format + - pymdownx.tabbed: + alternate_style: true + - pymdownx.highlight: + anchor_linenums: true + pygments_lang_class: true + - pymdownx.inlinehilite + - pymdownx.magiclink + - pymdownx.emoji: + emoji_index: !!python/name:material.extensions.emoji.twemoji + emoji_generator: !!python/name:material.extensions.emoji.to_svg + +nav: + - Home: index.md +``` + +- [ ] **Step 2: Create a minimal home page** + +Create `docs/index.md`: + +```markdown +# MyoGen + +Modular, extensible neuromuscular simulation framework for generating +physiologically grounded motor-unit activity, muscle force, and EMG +(surface and intramuscular). + +This site is built with [properdocs](https://pypi.org/project/properdocs/). +``` + +- [ ] **Step 3: Ignore build outputs** + +Append to `.gitignore`: + +```gitignore +# mkdocs / properdocs build output +/site/ +# mkdocs-gallery generated pages +/docs/auto_examples/ +``` + +- [ ] **Step 4: Build and verify** + +Run: +```bash +uv run --extra docs --extra nwb properdocs build 2>&1 | tail -20 +``` +Expected: build succeeds, writes `site/`. Then: +```bash +test -f site/index.html && echo "OK site built" && open site/index.html +``` +Expected: `OK site built`; the page opens showing the MyoGen home with the material theme (light/dark toggle, MyoGen title). + +- [ ] **Step 5: Commit** + +```bash +git add properdocs.yml docs/index.md .gitignore +git commit -m "docs: add properdocs.yml skeleton with material theme + home page" +``` + +--- + +### Task 3: API reference pages via mkdocstrings + +**Files:** Create `docs/api/index.md`, `docs/api/simulator.md`, `docs/api/neuron.md`, `docs/api/currents.md`, `docs/api/io-and-neuron.md`, `docs/api/plotting.md`, `docs/api/types.md`, `docs/api/myogen.md`; Modify `properdocs.yml` (nav). + +The conversion rule: each old rst `autosummary` entry under a `.. currentmodule:: X` becomes a mkdocstrings block `::: X.Symbol`. Keep the section headings as markdown `##`/`###`. + +- [ ] **Step 1: Create `docs/api/index.md`** + +```markdown +# API Reference + +- [Top-level (`myogen`)](myogen.md) +- [Simulator](simulator.md) +- [Currents](currents.md) +- [Neuron injection & I/O](io-and-neuron.md) +- [Plotting](plotting.md) +- [Types](types.md) +``` + +- [ ] **Step 2: Create `docs/api/myogen.md`** (from `myogen_api.rst`) + +```markdown +# Top-level API (`myogen`) + +::: myogen.set_random_seed +::: myogen.get_random_generator +::: myogen.get_random_seed +::: myogen.derive_subseed +::: myogen.load_nmodl_mechanisms +::: myogen.get_mechanism_parameters +::: myogen.validate_mechanism_parameter +::: myogen.set_mechanism_param +``` + +- [ ] **Step 3: Create `docs/api/simulator.md`** (from `simulator_api.rst`) + +```markdown +# Simulator + +## Recruitment +::: myogen.simulator.RecruitmentThresholds + +## Neuron populations +::: myogen.simulator.neuron.populations.AlphaMN__Pool +::: myogen.simulator.neuron.populations.DescendingDrive__Pool +::: myogen.simulator.neuron.populations.AffIa__Pool +::: myogen.simulator.neuron.populations.AffII__Pool +::: myogen.simulator.neuron.populations.AffIb__Pool +::: myogen.simulator.neuron.populations.GII__Pool +::: myogen.simulator.neuron.populations.GIb__Pool + +## Network & runner +::: myogen.simulator.neuron.network.Network +::: myogen.simulator.neuron.simulation_runner.SimulationRunner + +## Muscle & force +::: myogen.simulator.Muscle +::: myogen.simulator.neuron.muscle.HillModel +::: myogen.simulator.ForceModel +::: myogen.simulator.ForceModelVectorized + +## EMG +::: myogen.simulator.SurfaceEMG +::: myogen.simulator.IntramuscularEMG +::: myogen.simulator.SurfaceElectrodeArray +::: myogen.simulator.IntramuscularElectrodeArray + +## Proprioception +::: myogen.simulator.neuron.proprioception.SpindleModel +::: myogen.simulator.neuron.proprioception.GolgiTendonOrganModel +::: myogen.simulator.neuron.joint_dynamics.JointDynamics +``` + +- [ ] **Step 4: Create `docs/api/currents.md`** (from `currents_api.rst`) + +```markdown +# Currents + +::: myogen.utils.currents.create_ramp_current +::: myogen.utils.currents.create_step_current +::: myogen.utils.currents.create_sinusoidal_current +::: myogen.utils.currents.create_sawtooth_current +::: myogen.utils.currents.create_trapezoid_current +``` + +- [ ] **Step 5: Create `docs/api/io-and-neuron.md`** (from `utils_api.rst` injection + saver + nwb) + +```markdown +# Neuron injection & I/O + +## Current injection +::: myogen.utils.neuron.inject_currents_into_populations.inject_currents_into_populations +::: myogen.utils.neuron.inject_currents_into_populations.inject_currents_and_simulate_spike_trains + +## Persistence +::: myogen.utils.continuous_saver.ContinuousSaver +::: myogen.utils.continuous_saver.convert_chunks_to_neo + +## NWB export +!!! note + NWB export requires optional dependencies: `pip install myogen[nwb]`. + +::: myogen.utils.nwb.export_to_nwb +::: myogen.utils.nwb.export_simulation_to_nwb +::: myogen.utils.nwb.validate_nwb +``` + +- [ ] **Step 6: Create `docs/api/plotting.md`** (from `plotting_api.rst`) + +```markdown +# Plotting + +::: myogen.utils.plotting.plot_raster_spikes +::: myogen.utils.plotting.plot_membrane_potentials +::: myogen.utils.plotting.plot_muscle_dynamics +::: myogen.utils.plotting.plot_antagonist_muscle_comparison +::: myogen.utils.plotting.plot_spindle_dynamics +::: myogen.utils.plotting.plot_gto_dynamics +``` + +- [ ] **Step 7: Create `docs/api/types.md`** (from `types_api.rst`) + +```markdown +# Types + +::: myogen.utils.types + options: + members: + - Quantity__s + - Quantity__ms + - Quantity__rad + - Quantity__deg + - Quantity__mV + - Quantity__uV + - Quantity__nA + - Quantity__uS + - Quantity__S_per_m + - Quantity__Hz + - Quantity__pps + - Quantity__mm + - Quantity__m + - Quantity__mm2 + - Quantity__per_mm2 + - Quantity__m_per_s + - Quantity__mm_per_s + - CURRENT__AnalogSignal + - FORCE__AnalogSignal + - SPIKE_TRAIN__Block + - SURFACE_MUAP__Block + - SURFACE_EMG__Block + - INTRAMUSCULAR_MUAP__Block + - INTRAMUSCULAR_EMG__Block +``` + +- [ ] **Step 8: Add API to nav** + +In `properdocs.yml`, extend `nav:` to: + +```yaml +nav: + - Home: index.md + - API reference: + - api/index.md + - Top-level: api/myogen.md + - Simulator: api/simulator.md + - Currents: api/currents.md + - Injection & I/O: api/io-and-neuron.md + - Plotting: api/plotting.md + - Types: api/types.md +``` + +- [ ] **Step 9: Build and verify mkdocstrings resolves every symbol** + +Run: +```bash +uv run --extra docs --extra nwb properdocs build --strict 2>&1 | tail -40 +``` +Expected: build succeeds with NO "Could not collect" / griffe import warnings. If any symbol path is wrong (e.g. a class lives in a different module), fix the `:::` path against the real location in `myogen/` and rebuild. Then: +```bash +open site/api/simulator/index.html +``` +Expected: rendered API docs with signatures + numpy docstrings for `AlphaMN__Pool`, `SurfaceEMG`, etc. + +- [ ] **Step 10: Commit** + +```bash +git add docs/api properdocs.yml +git commit -m "docs: add mkdocstrings API reference pages" +``` + +--- + +### Task 4: Prose pages (home, getting-started, neo blocks) + assets + +**Files:** Rewrite `docs/index.md`; Create `docs/getting-started.md`, `docs/neo-blocks.md`; Create `docs/stylesheets/` and `docs/images/` as needed; Modify `properdocs.yml` (nav, logo, extra_css). + +- [ ] **Step 1: Real home page** + +Replace `docs/index.md` with a landing page adapted from the existing `docs/source/index.md` and the project README: a one-paragraph intro, an install snippet (`uv add myogen` / `pip install myogen`), and cards/links to Getting Started, the Examples gallery, and the API reference. Use the existing `docs/source/index.md` content as the source of truth — read it and port the prose to markdown (drop Sphinx directives; convert `{toctree}`/`grid` to a plain markdown list or `attr_list` cards). + +- [ ] **Step 2: Getting Started** + +Create `docs/getting-started.md` from the install + quick-start prose in the project `README.md` (root). Port the minimal end-to-end snippet (create pool → inject current → simulate → force/EMG) as a fenced `python` block. + +- [ ] **Step 3: Neo blocks guide** + +Create `docs/neo-blocks.md` by converting `docs/source/neo_blocks_guide.rst` to markdown (headings, code-blocks, lists). Read the rst and translate directives: `.. code-block:: python` → ```` ```python ````, `.. note::` → `!!! note`, cross-refs → plain text or markdown links. + +- [ ] **Step 4: Assets** + +If `docs/source/_static/` contains a logo or custom CSS still wanted, copy the logo to `docs/images/` and any CSS to `docs/stylesheets/`, and reference them in `properdocs.yml` (`theme.logo`, `theme.favicon`, `extra_css`). If there are no assets worth keeping, skip and note it in the commit. + +- [ ] **Step 5: Nav** + +Update `properdocs.yml` `nav:` to: + +```yaml +nav: + - Home: index.md + - Getting Started: getting-started.md + - Neo blocks: neo-blocks.md + - API reference: + - api/index.md + - Top-level: api/myogen.md + - Simulator: api/simulator.md + - Currents: api/currents.md + - Injection & I/O: api/io-and-neuron.md + - Plotting: api/plotting.md + - Types: api/types.md +``` + +- [ ] **Step 6: Build and verify** + +Run: +```bash +uv run --extra docs --extra nwb properdocs build --strict 2>&1 | tail -20 +open site/index.html +``` +Expected: build clean; home, getting-started, and neo-blocks render with working nav. + +- [ ] **Step 7: Commit** + +```bash +git add docs/index.md docs/getting-started.md docs/neo-blocks.md docs/images docs/stylesheets properdocs.yml +git commit -m "docs: migrate home, getting-started, and neo-blocks prose to markdown" +``` + +--- + +### Task 5: mkdocs-gallery — executed example gallery + +**Files:** Create `docs/gallery_conf.py`; Modify `properdocs.yml` (add `gallery` plugin + nav entry). + +- [ ] **Step 1: Gallery reset hook** + +Create `docs/gallery_conf.py` (ported from the old `conf.py` `reset_neuron`): + +```python +"""mkdocs-gallery configuration helpers for MyoGen examples.""" + + +def reset_neuron(gallery_conf, fname): + """Reset NEURON global HOC state between gallery examples. + + NEURON's interpreter keeps process-global state across examples run in one + process; clearing sections + time between examples keeps them independent. + """ + try: + import myogen # noqa: F401 (auto-loads mechanisms, sets up NEURON) + from neuron import h + + for sec in list(h.allsec()): + h.delete_section(sec=sec) + h.load_file("stdrun.hoc") + h.t = 0 + h.tstop = 0 + except (ImportError, RuntimeError, LookupError, AttributeError): + pass +``` + +- [ ] **Step 2: Add the gallery plugin to `properdocs.yml`** + +Insert into the `plugins:` list (after `mkdocstrings`): + +```yaml + - gallery: + examples_dirs: + - examples/01_basic + - examples/02_finetune + - examples/03_papers/watanabe + gallery_dirs: + - docs/auto_examples/01_basic + - docs/auto_examples/02_finetune + - docs/auto_examples/03_papers/watanabe + filename_pattern: "\\.py" + ignore_pattern: "(14_calibrate_noise_from_real|_oscillating_dc_helpers|_optimize_dc_worker)\\.py" + within_subsection_order: mkdocs_gallery.sorting.FileNameSortKey + image_scrapers: matplotlib + reset_modules: + - !!python/name:gallery_conf.reset_neuron + plot_gallery: !ENV [MKDOCS_GALLERY_PLOT, true] +``` + +Note: `paths: [.]` already on mkdocstrings puts repo root on `sys.path`; mkdocs-gallery resolves `!!python/name:gallery_conf.reset_neuron` because `docs/` is added to the path by the gallery plugin. If the name fails to resolve at build time, change the reference to `docs.gallery_conf.reset_neuron` and add an empty `docs/__init__.py`, OR move `gallery_conf.py` to the repo root and keep `gallery_conf.reset_neuron`. Verify by build (next step). The `!ENV` makes `MKDOCS_GALLERY_PLOT=false` skip execution for fast iteration. + +- [ ] **Step 3: Add the gallery to nav** + +Add under `nav:` (after Neo blocks): + +```yaml + - Examples: + - Basics: auto_examples/01_basic/index.md + - Fine-tuning: auto_examples/02_finetune/index.md + - Watanabe (paper): auto_examples/03_papers/watanabe/index.md +``` + +- [ ] **Step 4: Fast build (no execution) to validate gallery wiring** + +Run: +```bash +MKDOCS_GALLERY_PLOT=false uv run --extra docs --extra nwb properdocs build 2>&1 | tail -40 +``` +Expected: build succeeds; `docs/auto_examples/01_basic/index.md` and per-example pages are generated from the `# %%` blocks (source shown, no executed output). If `!!python/name:gallery_conf...` fails to resolve, apply the fallback in Step 2. Then: +```bash +open site/auto_examples/01_basic/index.html +``` +Expected: a gallery index listing the basic examples with their headers. + +- [ ] **Step 5: Full build (executes examples) — the real verification** + +Run (this executes all gallery examples; watanabe/02 is parallelized so ~minutes, not tens of minutes): +```bash +uv run --extra docs --extra nwb properdocs build 2>&1 | tail -40 +``` +Expected: build succeeds; example pages now contain rendered plots. Spot-check: +```bash +open site/auto_examples/01_basic/index.html +``` +Expected: thumbnails/plots rendered for the basic examples. If a specific example errors during execution, fix the example or extend `ignore_pattern` (and note why), then rebuild. + +- [ ] **Step 6: Commit** + +```bash +git add docs/gallery_conf.py properdocs.yml +git commit -m "docs: add executed example gallery via mkdocs-gallery" +``` + +--- + +### Task 6: GitHub Pages CI workflow + +**Files:** Create `.github/workflows/docs.yml`; Delete `.github/workflows/sphinx.yml`. + +- [ ] **Step 1: Create `.github/workflows/docs.yml`** (mirroring MyoGestic's) + +```yaml +name: Docs + +on: + push: + branches: [main] + pull_request: + workflow_dispatch: + +permissions: + contents: read + pages: write + id-token: write + +concurrency: + group: pages + cancel-in-progress: false + +jobs: + build: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v6 + - name: Set up uv + uses: astral-sh/setup-uv@v8.1.0 + with: + enable-cache: true + - name: Sync project + docs extras + run: uv sync --locked --extra docs --extra nwb + - name: Build docs site (executes the example gallery) + run: uv run --locked --extra docs --extra nwb properdocs build + - name: Upload Pages artifact + if: github.event_name == 'push' && github.ref == 'refs/heads/main' + uses: actions/upload-pages-artifact@v5 + with: + path: site + + deploy: + if: github.event_name == 'push' && github.ref == 'refs/heads/main' + needs: build + runs-on: ubuntu-latest + environment: + name: github-pages + url: ${{ steps.deploy.outputs.page_url }} + steps: + - name: Configure Pages + uses: actions/configure-pages@v6 + - name: Deploy to GitHub Pages + id: deploy + uses: actions/deploy-pages@v5 +``` + +- [ ] **Step 2: Remove the Sphinx workflow** + +```bash +git rm .github/workflows/sphinx.yml +``` + +- [ ] **Step 3: Validate the workflow YAML** + +Run: +```bash +uv run python -c "import yaml; yaml.safe_load(open('.github/workflows/docs.yml')); print('docs.yml valid YAML')" +``` +Expected: `docs.yml valid YAML`. (Note: the NEURON-in-CI build path mirrors the old sphinx.yml, which already executed the gallery; if `sphinx.yml` installed extra system deps for NEURON, port those `apt`/setup steps into `docs.yml`'s build job — read `sphinx.yml` before deleting and carry over any NEURON system setup.) + +- [ ] **Step 4: Commit** + +```bash +git add .github/workflows/docs.yml +git commit -m "ci(docs): build + deploy properdocs site to GitHub Pages; drop sphinx workflow" +``` + +--- + +### Task 7: Remove the Sphinx scaffolding + final build + +**Files:** Delete `docs/source/` (conf.py, examples.rst, api/*.rst, index.md, neo_blocks_guide.rst, index.rst.backup, templates/, _static/ leftovers, README.md), `docs/Makefile`, `docs/make.bat`, `docs/README.md`/`docs/neo_blocks.md` if superseded. + +- [ ] **Step 1: Confirm nothing still references `docs/source/`** + +Run: +```bash +grep -rIl "docs/source\|sphinx_gallery\|conf.py" --include="*.py" --include="*.toml" --include="*.yml" --include="*.cfg" . | grep -v site/ | grep -v .venv/ +``` +Expected: no references outside the files about to be deleted. If `pyproject.toml`/`README.md` link to the old docs paths, update them to the new site URL/paths. + +- [ ] **Step 2: Delete the Sphinx tree** + +```bash +git rm -r docs/source docs/Makefile docs/make.bat +git rm docs/neo_blocks.md docs/README.md 2>/dev/null || true # only if superseded by docs/neo-blocks.md / docs/index.md +``` +(Keep `docs/superpowers/` — it's excluded from the build, not part of the site.) + +- [ ] **Step 3: Final clean full build** + +```bash +uv run --extra docs --extra nwb properdocs build --strict 2>&1 | tail -30 +test -f site/index.html && echo "FINAL SITE OK" && open site/index.html +``` +Expected: `--strict` build succeeds end-to-end (home, getting-started, neo-blocks, all API pages, executed gallery), no broken nav/links, `FINAL SITE OK`. + +- [ ] **Step 4: Commit** + +```bash +git add -A +git commit -m "docs: remove Sphinx scaffolding after properdocs migration" +``` + +--- + +## Final verification + +```bash +uv run --extra docs --extra nwb properdocs build --strict +open site/index.html +``` +The site builds strictly, the gallery executes and renders plots, and `docs/superpowers/` is absent from the site. The branch is ready to push (CI will reproduce the build + deploy on merge to `main`). From e78492e0e5da7f47d6dbf9cecd69b9f725ccb033 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Raul=20C=2E=20S=C3=AEmpetru?= Date: Tue, 23 Jun 2026 13:44:42 +0300 Subject: [PATCH 18/60] build(docs): swap Sphinx stack for properdocs + mkdocs-gallery --- pyproject.toml | 22 +- uv.lock | 983 +++++++++++++------------------------------------ 2 files changed, 263 insertions(+), 742 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index a2cddfcd..1f43e1fc 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -80,23 +80,11 @@ dev = [ "scipy-stubs>=1.16.1.0", ] docs = [ - "enum-tools[sphinx]>=0.12.0", - "linkify-it-py>=2.0.3", - "memory-profiler>=0.61.0", - "pydata-sphinx-theme>=0.16.1", - "pygments>=2.19.2", - "rinohtype>=0.5.5", - "roman>=5.2", - "sphinx>=8.1.3,<9", - "sphinx-autodoc-typehints>=2.5.0", - "sphinx-design>=0.6.1", - "sphinx-gallery>=0.19.0", - "sphinx-hoverxref>=1.4.1", - "sphinxcontrib-mermaid>=1.0.0", - "toml>=0.10.2", - # NWB support for examples - "pynwb>=2.8.0", - 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intramuscular). + +This site is built with [properdocs](https://pypi.org/project/properdocs/). diff --git a/properdocs.yml b/properdocs.yml new file mode 100644 index 00000000..c7f14fb0 --- /dev/null +++ b/properdocs.yml @@ -0,0 +1,100 @@ +site_name: MyoGen +site_description: Modular neuromuscular simulation framework for motor-unit activity, force, and EMG. +site_url: https://nsquaredlab.github.io/MyoGen/ +repo_url: https://github.com/NsquaredLab/MyoGen +repo_name: MyoGen +edit_uri: edit/main/docs/ +copyright: Copyright © 2025-2026 n-squared lab, FAU Erlangen-Nürnberg + +# superpowers specs/plans live under docs/ but are not site pages +exclude_docs: | + superpowers/ + +theme: + name: material + features: + - navigation.instant + - navigation.tracking + - navigation.tabs + - navigation.tabs.sticky + - navigation.sections + - navigation.indexes + - navigation.top + - search.suggest + - search.highlight + - content.code.copy + - content.code.annotate + - toc.follow + palette: + - media: "(prefers-color-scheme: light)" + scheme: default + primary: white + accent: indigo + toggle: + icon: material/brightness-7 + name: Switch to dark mode + - media: "(prefers-color-scheme: dark)" + scheme: slate + primary: black + accent: indigo + toggle: + icon: material/brightness-4 + name: Switch to light mode + font: + text: Inter + code: JetBrains Mono + icon: + repo: fontawesome/brands/github + +plugins: + - search + - section-index + - mkdocstrings: + handlers: + python: + paths: [.] + inventories: + - https://docs.python.org/3/objects.inv + - https://numpy.org/doc/stable/objects.inv + - https://docs.scipy.org/doc/scipy/objects.inv + options: + docstring_style: numpy + show_source: true + show_root_heading: true + show_root_full_path: false + members_order: source + separate_signature: true + show_signature_annotations: true + signature_crossrefs: true + merge_init_into_class: true + heading_level: 2 + filters: + - "!^_" + +markdown_extensions: + - admonition + - attr_list + - def_list + - md_in_html + - tables + - toc: + permalink: true + - pymdownx.details + - pymdownx.superfences: + custom_fences: + - name: mermaid + class: mermaid + format: !!python/name:pymdownx.superfences.fence_code_format + - pymdownx.tabbed: + alternate_style: true + - pymdownx.highlight: + anchor_linenums: true + pygments_lang_class: true + - pymdownx.inlinehilite + - pymdownx.magiclink + - pymdownx.emoji: + emoji_index: !!python/name:material.extensions.emoji.twemoji + emoji_generator: !!python/name:material.extensions.emoji.to_svg + +nav: + - Home: index.md From 29522b711fc70a09cffbad5bf18201a3555b581b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Raul=20C=2E=20S=C3=AEmpetru?= Date: Tue, 23 Jun 2026 13:47:23 +0300 Subject: [PATCH 20/60] docs: add mkdocstrings API reference pages --- docs/api/currents.md | 7 +++++++ docs/api/index.md | 8 ++++++++ docs/api/io-and-neuron.md | 17 +++++++++++++++++ docs/api/myogen.md | 10 ++++++++++ docs/api/plotting.md | 8 ++++++++ docs/api/simulator.md | 34 ++++++++++++++++++++++++++++++++++ docs/api/types.md | 29 +++++++++++++++++++++++++++++ properdocs.yml | 8 ++++++++ 8 files changed, 121 insertions(+) create mode 100644 docs/api/currents.md create mode 100644 docs/api/index.md create mode 100644 docs/api/io-and-neuron.md create mode 100644 docs/api/myogen.md create mode 100644 docs/api/plotting.md create mode 100644 docs/api/simulator.md create mode 100644 docs/api/types.md diff --git a/docs/api/currents.md b/docs/api/currents.md new file mode 100644 index 00000000..95a68c41 --- /dev/null +++ b/docs/api/currents.md @@ -0,0 +1,7 @@ +# Currents + +::: myogen.utils.currents.create_ramp_current +::: myogen.utils.currents.create_step_current +::: myogen.utils.currents.create_sinusoidal_current +::: myogen.utils.currents.create_sawtooth_current +::: myogen.utils.currents.create_trapezoid_current diff --git a/docs/api/index.md b/docs/api/index.md new file mode 100644 index 00000000..16d4d1e4 --- /dev/null +++ b/docs/api/index.md @@ -0,0 +1,8 @@ +# API Reference + +- [Top-level (`myogen`)](myogen.md) +- [Simulator](simulator.md) +- [Currents](currents.md) +- [Neuron injection & I/O](io-and-neuron.md) +- [Plotting](plotting.md) +- [Types](types.md) diff --git a/docs/api/io-and-neuron.md b/docs/api/io-and-neuron.md new file mode 100644 index 00000000..18930382 --- /dev/null +++ b/docs/api/io-and-neuron.md @@ -0,0 +1,17 @@ +# Neuron injection & I/O + +## Current injection +::: myogen.utils.neuron.inject_currents_into_populations.inject_currents_into_populations +::: myogen.utils.neuron.inject_currents_into_populations.inject_currents_and_simulate_spike_trains + +## Persistence +::: myogen.utils.continuous_saver.ContinuousSaver +::: myogen.utils.continuous_saver.convert_chunks_to_neo + +## NWB export +!!! note + NWB export requires optional dependencies: `pip install myogen[nwb]`. + +::: myogen.utils.nwb.export_to_nwb +::: myogen.utils.nwb.export_simulation_to_nwb +::: myogen.utils.nwb.validate_nwb diff --git a/docs/api/myogen.md b/docs/api/myogen.md new file mode 100644 index 00000000..1afaa76f --- /dev/null +++ b/docs/api/myogen.md @@ -0,0 +1,10 @@ +# Top-level API (`myogen`) + +::: myogen.set_random_seed +::: myogen.get_random_generator +::: myogen.get_random_seed +::: myogen.derive_subseed +::: myogen.load_nmodl_mechanisms +::: myogen.get_mechanism_parameters +::: myogen.validate_mechanism_parameter +::: myogen.set_mechanism_param diff --git a/docs/api/plotting.md b/docs/api/plotting.md new file mode 100644 index 00000000..098c0b11 --- /dev/null +++ b/docs/api/plotting.md @@ -0,0 +1,8 @@ +# Plotting + +::: myogen.utils.plotting.plot_raster_spikes +::: myogen.utils.plotting.plot_membrane_potentials +::: myogen.utils.plotting.plot_muscle_dynamics +::: myogen.utils.plotting.plot_antagonist_muscle_comparison +::: myogen.utils.plotting.plot_spindle_dynamics +::: myogen.utils.plotting.plot_gto_dynamics diff --git a/docs/api/simulator.md b/docs/api/simulator.md new file mode 100644 index 00000000..d86841f7 --- /dev/null +++ b/docs/api/simulator.md @@ -0,0 +1,34 @@ +# Simulator + +## Recruitment +::: myogen.simulator.RecruitmentThresholds + +## Neuron populations +::: myogen.simulator.neuron.populations.AlphaMN__Pool +::: myogen.simulator.neuron.populations.DescendingDrive__Pool +::: myogen.simulator.neuron.populations.AffIa__Pool +::: myogen.simulator.neuron.populations.AffII__Pool +::: myogen.simulator.neuron.populations.AffIb__Pool +::: myogen.simulator.neuron.populations.GII__Pool +::: myogen.simulator.neuron.populations.GIb__Pool + +## Network & runner +::: myogen.simulator.Network +::: myogen.simulator.SimulationRunner + +## Muscle & force +::: myogen.simulator.Muscle +::: myogen.simulator.HillModel +::: myogen.simulator.ForceModel +::: myogen.simulator.ForceModelVectorized + +## EMG +::: myogen.simulator.SurfaceEMG +::: myogen.simulator.IntramuscularEMG +::: myogen.simulator.SurfaceElectrodeArray +::: myogen.simulator.IntramuscularElectrodeArray + +## Proprioception +::: myogen.simulator.SpindleModel +::: myogen.simulator.GolgiTendonOrganModel +::: myogen.simulator.JointDynamics diff --git a/docs/api/types.md b/docs/api/types.md new file mode 100644 index 00000000..6a1ef0e9 --- /dev/null +++ b/docs/api/types.md @@ -0,0 +1,29 @@ +# Types + +::: myogen.utils.types + options: + members: + - Quantity__s + - Quantity__ms + - Quantity__rad + - Quantity__deg + - Quantity__mV + - Quantity__uV + - Quantity__nA + - Quantity__uS + - Quantity__S_per_m + - Quantity__Hz + - Quantity__pps + - Quantity__mm + - Quantity__m + - Quantity__mm2 + - Quantity__per_mm2 + - Quantity__m_per_s + - Quantity__mm_per_s + - CURRENT__AnalogSignal + - FORCE__AnalogSignal + - SPIKE_TRAIN__Block + - SURFACE_MUAP__Block + - SURFACE_EMG__Block + - INTRAMUSCULAR_MUAP__Block + - INTRAMUSCULAR_EMG__Block diff --git a/properdocs.yml b/properdocs.yml index c7f14fb0..932343b9 100644 --- a/properdocs.yml +++ b/properdocs.yml @@ -98,3 +98,11 @@ markdown_extensions: nav: - Home: index.md + - API reference: + - api/index.md + - Top-level: api/myogen.md + - Simulator: api/simulator.md + - Currents: api/currents.md + - Injection & I/O: api/io-and-neuron.md + - Plotting: api/plotting.md + - Types: api/types.md From d245a87d99b763d6b2550675234a36839ee921ee Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Raul=20C=2E=20S=C3=AEmpetru?= Date: Tue, 23 Jun 2026 13:51:06 +0300 Subject: [PATCH 21/60] docs: migrate home, getting-started, and neo-blocks prose to markdown --- docs/getting-started.md | 104 ++++++++++++ docs/images/myogen_logo.png | Bin 0 -> 212383 bytes docs/index.md | 38 ++++- docs/neo-blocks.md | 329 ++++++++++++++++++++++++++++++++++++ properdocs.yml | 2 + 5 files changed, 469 insertions(+), 4 deletions(-) create mode 100644 docs/getting-started.md create mode 100644 docs/images/myogen_logo.png create mode 100644 docs/neo-blocks.md diff --git a/docs/getting-started.md b/docs/getting-started.md new file mode 100644 index 00000000..52b8e273 --- /dev/null +++ b/docs/getting-started.md @@ -0,0 +1,104 @@ +# Getting Started + +!!! info "Requires Python 3.12+" + Check your version with `python --version`. + +## System requirements + +NEURON and an MPI library must be available before installing MyoGen. + +| Platform | Before installing MyoGen | +|----------|--------------------------| +| **Windows** | [NEURON 8.2.7](https://github.com/neuronsimulator/nrn/releases/download/8.2.7/nrn-8.2.7.w64-mingw-py-39-310-311-312-313-setup.exe) — download, run the installer, select "Add to PATH". | +| **Linux** | `sudo apt install libopenmpi-dev` (Ubuntu/Debian) or `sudo dnf install openmpi-devel` (Fedora). | +| **macOS** | `brew install open-mpi`. | + +!!! warning "Windows prerequisites" + You **must** install the following before installing MyoGen on Windows: + + 1. **Visual C++ Build Tools** — install [Visual C++ Build Tools](https://visualstudio.microsoft.com/visual-cpp-build-tools/) with: MSVC Build Tools for x64/x86 (latest), MSVC v143 (VS 2022 C++ x64/x86), Windows 11 SDK (latest), and C++ core desktop features. + 2. **NEURON 8.2.7** — run the [installer](https://github.com/neuronsimulator/nrn/releases/download/8.2.7/nrn-8.2.7.w64-mingw-py-39-310-311-312-313-setup.exe), select **"Add to PATH"**, then restart your terminal. + +## Install + +We recommend [uv](https://docs.astral.sh/uv/), a fast Python package manager. + +=== "uv (recommended)" + + ```bash + # install uv (Linux/macOS) + curl -LsSf https://astral.sh/uv/install.sh | sh + # ...or Windows PowerShell: + # powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex" + + # in a fresh project + uv init my_emg_project && cd my_emg_project + uv add myogen + ``` + +=== "pip" + + ```bash + pip install myogen + ``` + +=== "from source (developers)" + + ```bash + git clone https://github.com/NsquaredLab/MyoGen.git + cd MyoGen + uv sync + uv run poe setup_myogen + ``` + +Verify the install: + +```bash +uv run python -c "from myogen import simulator; print('MyoGen installed successfully!')" +``` + +!!! tip "Optional: GPU acceleration" + For 5–10× faster convolutions on an NVIDIA GPU: `uv add cupy-cuda12x`. + +## Quick start + +Generate motor-unit action potentials and surface EMG: + +```python +from myogen import simulator +import quantities as pq + +# 1. Recruitment thresholds for 100 motor units +thresholds, _ = simulator.RecruitmentThresholds( + N=100, recruitment_range__ratio=50, mode="fuglevand" +) + +# 2. Muscle model with fiber distribution +muscle = simulator.Muscle( + recruitment_thresholds=thresholds, + radius_bone__mm=1.0 * pq.mm, + fiber_density__fibers_per_mm2=400 * pq.mm**-2, + fat_thickness__mm=10 * pq.mm, + autorun=True, +) + +# 3. Surface electrode array +electrode_array = simulator.SurfaceElectrodeArray( + num_rows=5, + num_cols=5, + inter_electrode_distance__mm=5 * pq.mm, + electrode_radius__mm=5 * pq.mm, + bending_radius__mm=muscle.radius__mm + muscle.skin_thickness__mm + muscle.fat_thickness__mm, +) + +# 4. Surface EMG simulator +surface_emg = simulator.SurfaceEMG( + muscle_model=muscle, + electrode_arrays=[electrode_array], + sampling_frequency__Hz=2048.0, + MUs_to_simulate=[0, 1, 2, 3, 4], +) +``` + +For the full pipeline — spike trains, force, intramuscular EMG, spinal networks +— browse the [Examples](auto_examples/01_basic/index.md) gallery. diff --git a/docs/images/myogen_logo.png b/docs/images/myogen_logo.png new file mode 100644 index 0000000000000000000000000000000000000000..e4810fc9face3690d7cfa8f91fd1ba2154dae3ec GIT binary patch literal 212383 zcmY(r3p~^B`#(NOLa2};bim57L~^bqISX?(5Qtst-W?+l=tv3h z^Z4iy;GK3-ts(G>#rvLxF9_t>u>ZsGbE2FV1Ud)Ox^v4UC}VkC@1=-K^W@ef*BcAS z__Z1L!mC5qw@shiI%;mxdG`>@bNwjZqZVloB5z7G44-+fUKkzq$(6Ny)45l~pXuZa zv_<*t!Ai&W+2!Lhy49@+rrXAnG#`KX7lP^dg3>r76)bpa{m!So;9t)-PrbnqXyv^> zI&T;#uYc%@ED6NrP*(r$7;zhW3BI zx^AdVCZYxZ>uq*MmOx8gT0f|jel=S%ONZ*>vkgY*7n?GH++VPY@2}Vjr#$E;XZJjO zF^D>S6g0-0!?y*Q&+ofaEe5hxzOqT@c=0tH`?vtS`ZP+znL7SN% 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+MyoGen logo + # MyoGen -Modular, extensible neuromuscular simulation framework for generating -physiologically grounded motor-unit activity, muscle force, and EMG -(surface and intramuscular). +**The modular and extensible simulation toolkit for neurophysiology** + +[Getting Started](getting-started.md){ .md-button .md-button--primary } · +[Examples](auto_examples/01_basic/index.md){ .md-button } · +[API Reference](api/index.md){ .md-button } +
+ +## Overview + +MyoGen is a **modular and extensible neuromuscular simulation framework** for +generating physiologically grounded motor-unit activity, muscle force, and +surface EMG signals. + +It supports end-to-end modeling of the neuromuscular pathway — from descending +neural drive and spinal motor-neuron dynamics to muscle activation and +bioelectric signal formation at the electrode level. MyoGen is designed for +algorithm validation, hypothesis-driven research, and education, providing +configurable building blocks that can be combined and extended independently. + +## Highlights + +- 🧬 **Biophysically inspired neuron models** — NEURON-based motor neurons with validated calcium dynamics and membrane properties. +- 🎯 **Everything is inspectable** — complete access to every motor unit, spike time, and fiber location for rigorous algorithm testing. +- ⚡️ **Vectorized & parallel** — multi-core CPU processing with NumPy/Numba vectorization for fast computation. +- 🔬 **End-to-end simulation** — from motor-unit recruitment to high-density surface EMG in a single framework. +- 📊 **Reproducible science** — deterministic random seeds and standardized Neo Block outputs for exact replication. +- 📦 **NWB export** — optional export to [Neurodata Without Borders](https://www.nwb.org/) for data sharing via DANDI. +- 🧰 **Comprehensive toolkit** — surface EMG, intramuscular EMG, force generation, and spinal-network modeling. -This site is built with [properdocs](https://pypi.org/project/properdocs/). +Head to [Getting Started](getting-started.md) to install MyoGen and run your +first simulation, browse the [Examples](auto_examples/01_basic/index.md) +gallery, or dive into the [API Reference](api/index.md). diff --git a/docs/neo-blocks.md b/docs/neo-blocks.md new file mode 100644 index 00000000..f04c62aa --- /dev/null +++ b/docs/neo-blocks.md @@ -0,0 +1,329 @@ +# Working with Neo Block Data Structures + +MyoGen uses **Neo Block** objects as the primary data containers for storing simulation results. This guide explains how to extract and work with data from the different Block types. + +## Overview + +MyoGen uses five different Neo Block types to store simulation data: + +| Block Type | Purpose | Dimensions | +|---|---|---| +| `SPIKE_TRAIN__Block` | Neural firing times | 1D spike times | +| `SURFACE_MUAP__Block` | Surface MUAP templates | 3D electrode grid | +| `SURFACE_EMG__Block` | Surface EMG signals | 3D electrode grid | +| `INTRAMUSCULAR_MUAP__Block` | Intramuscular MUAP templates | 2D electrode array | +| `INTRAMUSCULAR_EMG__Block` | Intramuscular EMG signals | 2D electrode array | + +Neo Blocks provide standardized containers with: + +- Automatic unit tracking (mV, µV, seconds, etc.) +- Metadata storage (sampling rate, duration, etc.) +- Compatibility with analysis tools like Elephant +- Integration with neuroscience workflows + +## Quick Start + +### Basic Access Patterns + +```python +import joblib + +# Load spike trains +spike_trains = joblib.load("spike_trains.pkl") +spiketrain = spike_trains.segments[0].spiketrains[0] +spike_times = spiketrain.magnitude # NumPy array + +# Load surface EMG +surface_emg = joblib.load("surface_emg.pkl") +emg_signal = surface_emg.groups[0].segments[0].analogsignals[0] +electrode_data = emg_signal[:, row, col] # Time series at electrode + +# Load intramuscular EMG +im_emg = joblib.load("intramuscular_emg.pkl") +emg_signal = im_emg.segments[0].analogsignals[0] +electrode_data = emg_signal[:, electrode_idx] # Time series +``` + +## Block Structure Details + +### SPIKE_TRAIN__Block + +**Structure**: Block → Segments (motor pools) → SpikeTrain objects + +The `SPIKE_TRAIN__Block` stores neural firing patterns from motor neuron pools. Each segment represents a motor pool, and each spiketrain contains the firing times of an individual neuron. + +```python +# Access spike trains +motor_pool = spike_train__Block.segments[pool_idx] +spiketrain = motor_pool.spiketrains[neuron_idx] + +# Extract data +spike_times__s = spiketrain.magnitude # NumPy array +n_spikes = len(spiketrain) +duration = spiketrain.t_stop +sampling_rate = spiketrain.sampling_rate +``` + +**Example: Calculate firing rate** + +```python +motor_pool = spike_train__Block.segments[0] +firing_rates = [] + +for spiketrain in motor_pool.spiketrains: + if len(spiketrain) > 0: + rate = (len(spiketrain) / (spiketrain.t_stop - spiketrain.t_start)).rescale("Hz") + firing_rates.append(rate.magnitude) + +print(f"Mean firing rate: {np.mean(firing_rates):.2f} Hz") +``` + +### SURFACE_MUAP__Block + +**Structure**: Block → Groups (electrode arrays) → Segments (MUAP indices) → AnalogSignals (3D) + +Stores Motor Unit Action Potential (MUAP) templates for surface electrode arrays. Each group represents an electrode array, each segment represents a MUAP, and signals are 3D arrays (time × rows × columns). + +```python +# Access MUAPs +electrode_array = muaps__Block.groups[array_idx] +muap_segment = electrode_array.segments[muap_idx] +muap_signal = muap_segment.analogsignals[0] + +# Extract data +muap_array = muap_signal.magnitude # Shape: (time, rows, cols) +time__s = muap_signal.times.magnitude +electrode_muap = muap_signal[:, row, col] # Specific electrode +``` + +**Example: Analyze MUAP amplitude** + +```python +# Get MUAP from motor unit 5, electrode at row 2, column 3 +muap_signal = muaps__Block.groups[0].segments[5].analogsignals[0] + +row, col = 2, 3 +electrode_muap = muap_signal[:, row, col] + +print(f"Peak-to-peak: {np.ptp(electrode_muap.magnitude):.2f} {electrode_muap.units}") +print(f"Max amplitude: {np.max(np.abs(electrode_muap.magnitude)):.2f} {electrode_muap.units}") +``` + +### SURFACE_EMG__Block + +**Structure**: Block → Groups (electrode arrays) → Segments (motor pools) → AnalogSignals (3D) + +Stores synthesized surface EMG signals. Similar structure to `SURFACE_MUAP__Block`, but contains the full EMG signal (longer duration) rather than templates. + +```python +# Access surface EMG +electrode_array = surface_emg__Block.groups[array_idx] +motor_pool = electrode_array.segments[pool_idx] +emg_signal = motor_pool.analogsignals[0] + +# Extract data +emg_array = emg_signal.magnitude # Shape: (time, rows, cols) +electrode_emg = emg_signal[:, row, col] # Specific electrode +``` + +**Example: Calculate RMS amplitude** + +```python +emg_signal = surface_emg__Block.groups[0].segments[0].analogsignals[0] +electrode_emg = emg_signal[:, 2, 2].magnitude + +rms = np.sqrt(np.mean(electrode_emg ** 2)) +print(f"RMS amplitude: {rms:.2f} {emg_signal.units}") +``` + +### INTRAMUSCULAR_MUAP__Block + +**Structure**: Block → Segments (MUAP indices) → AnalogSignals (2D) + +Stores MUAP templates for intramuscular electrodes. Each segment represents a MUAP, and signals are 2D arrays (time × electrodes). + +```python +# Access intramuscular MUAPs +muap_segment = im_muaps__Block.segments[muap_idx] +muap_signal = muap_segment.analogsignals[0] + +# Extract data +muap_array = muap_signal.magnitude # Shape: (time, electrodes) +electrode_muap = muap_signal[:, electrode_idx] +``` + +### INTRAMUSCULAR_EMG__Block + +**Structure**: Block → Segments (motor pools) → AnalogSignals (2D) + +Stores synthesized intramuscular EMG signals. Each segment represents a motor pool, and signals are 2D arrays (time × electrodes). + +```python +# Access intramuscular EMG +motor_pool = im_emg__Block.segments[pool_idx] +emg_signal = motor_pool.analogsignals[0] + +# Extract data +emg_array = emg_signal.magnitude # Shape: (time, electrodes) +electrode_emg = emg_signal[:, electrode_idx] +``` + +## Common Operations + +### Accessing Metadata + +All Neo signals have metadata properties: + +```python +signal.magnitude # NumPy array of values +signal.times.magnitude # Time axis (in seconds) +signal.sampling_rate # Sampling frequency +signal.sampling_period # Time between samples +signal.t_start # Start time +signal.t_stop # Stop time +signal.duration # Total duration +signal.units # Physical units (mV, uV, etc.) +signal.shape # Array dimensions +``` + +### Extracting Time Windows + +```python +# For spike trains +windowed_train = spiketrain.time_slice(t_start, t_stop) + +# For analog signals +start_idx = int(t_start * emg_signal.sampling_rate.magnitude) +end_idx = int(t_stop * emg_signal.sampling_rate.magnitude) +windowed_signal = emg_signal[start_idx:end_idx] +``` + +### Converting Units + +```python +import quantities as pq + +# Check current units +print(signal.units) # e.g., mV + +# Convert to different units +signal_uV = signal.rescale(pq.uV) +``` + +### Saving and Loading + +```python +import joblib + +# Save blocks +joblib.dump(spike_train__Block, "spike_trains.pkl") +joblib.dump(surface_emg__Block, "surface_emg.pkl") + +# Load blocks +spike_trains = joblib.load("spike_trains.pkl") +surface_emg = joblib.load("surface_emg.pkl") +``` + +## Shape Reference + +| Block Type | Dimensionality | Shape Format | +|---|---|---| +| SPIKE_TRAIN | 1D | `(n_spikes,)` | +| SURFACE_MUAP | 3D | `(time, rows, cols)` | +| SURFACE_EMG | 3D | `(time, rows, cols)` | +| INTRAMUSCULAR_MUAP | 2D | `(time, electrodes)` | +| INTRAMUSCULAR_EMG | 2D | `(time, electrodes)` | + +## Data Flow Pipeline + +The simulation pipeline follows this flow: + +1. **Generate Spike Trains** → `SPIKE_TRAIN__Block` + + - When neurons fire + +2. **Generate MUAPs** → `SURFACE_MUAP__Block` or `INTRAMUSCULAR_MUAP__Block` + + - What individual motor units look like + +3. **Convolve MUAPs with Spike Trains** → `SURFACE_EMG__Block` or `INTRAMUSCULAR_EMG__Block` + + - Final synthesized EMG signals + +## Complete Example + +```python +import joblib +import numpy as np +import matplotlib.pyplot as plt +from myogen.utils.types import SPIKE_TRAIN__Block, SURFACE_EMG__Block + +# 1. Load data +spike_trains = joblib.load("spike_trains.pkl") +surface_emg = joblib.load("surface_emg.pkl") + +# 2. Extract spike times +motor_pool = spike_trains.segments[0] +neuron_5 = motor_pool.spiketrains[5] +spike_times = neuron_5.magnitude + +# 3. Extract EMG from center electrode +emg_signal = surface_emg.groups[0].segments[0].analogsignals[0] +center_row = emg_signal.shape[1] // 2 +center_col = emg_signal.shape[2] // 2 +electrode_emg = emg_signal[:, center_row, center_col] + +# 4. Plot +fig, (ax1, ax2) = plt.subplots(2, 1, sharex=True) + +# Spike raster +ax1.scatter(spike_times, [0]*len(spike_times), s=10, c='black') +ax1.set_ylabel('Neuron 5') +ax1.set_ylim(-0.5, 0.5) + +# EMG signal +time = emg_signal.times.magnitude +ax2.plot(time, electrode_emg.magnitude) +ax2.set_xlabel('Time (s)') +ax2.set_ylabel(f'EMG ({electrode_emg.units})') + +plt.tight_layout() +plt.show() +``` + +## Troubleshooting + +### Missing 'groups' attribute + +**Issue**: `AttributeError: 'Block' object has no attribute 'groups'` + +**Solution**: This is likely a spike train or intramuscular block. Those use `segments` not `groups`. + +### IndexError when accessing electrodes + +**Issue**: `IndexError` when accessing electrodes + +**Solution**: Check the shape first: + +```python +print(signal.shape) # e.g., (150000, 13, 5) +# Then access within bounds: signal[:, 0:13, 0:5] +``` + +### Wrong units + +**Issue**: Values seem wrong (very large or very small) + +**Solution**: Check the units: + +```python +print(signal.units) # e.g., mV or µV +signal.rescale(pq.mV) # Convert to desired unit +``` + +## Additional Resources + +- Example: `examples/01_basic/12_extract_data_from_neo_blocks.py` +- [Neo Documentation](https://neo.readthedocs.io/) +- [Elephant (Electrophysiology Analysis)](https://elephant.readthedocs.io/) +- [Quantities (Unit Handling)](https://python-quantities.readthedocs.io/) diff --git a/properdocs.yml b/properdocs.yml index 932343b9..3c83993e 100644 --- a/properdocs.yml +++ b/properdocs.yml @@ -98,6 +98,8 @@ markdown_extensions: nav: - Home: index.md + - Getting Started: getting-started.md + - Neo blocks: neo-blocks.md - API reference: - api/index.md - Top-level: api/myogen.md From 7074fa9acc81589c02ad30340cfea5f192ba43d5 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Raul=20C=2E=20S=C3=AEmpetru?= Date: Tue, 23 Jun 2026 13:58:38 +0300 Subject: [PATCH 22/60] docs: add executed example gallery via mkdocs-gallery --- docs/gallery_conf.py | 54 +++++++++++++++++++++++++++ examples/01_basic/README.md | 9 +++++ examples/02_finetune/README.md | 11 ++++++ examples/03_papers/watanabe/README.md | 7 ++++ properdocs.yml | 7 ++++ 5 files changed, 88 insertions(+) create mode 100644 docs/gallery_conf.py create mode 100644 examples/01_basic/README.md create mode 100644 examples/02_finetune/README.md create mode 100644 examples/03_papers/watanabe/README.md diff --git a/docs/gallery_conf.py b/docs/gallery_conf.py new file mode 100644 index 00000000..beb6666d --- /dev/null +++ b/docs/gallery_conf.py @@ -0,0 +1,54 @@ +"""mkdocs-gallery base configuration for the MyoGen example gallery. + +Referenced from ``properdocs.yml`` via the ``gallery`` plugin's ``conf_script``. +The module-level ``conf`` dict is loaded as the gallery's base configuration; +``plot_gallery`` is overridden from ``properdocs.yml`` (env-controlled). +""" + +from pathlib import Path + +from mkdocs_gallery.sorting import FileNameSortKey + +# mkdocs-gallery requires examples_dirs / gallery_dirs as absolute paths under +# the project root (it calls Path(...).relative_to(project_root)). This file +# lives at docs/gallery_conf.py, so its grandparent is the repo root. +_ROOT = Path(__file__).resolve().parent.parent + + +def reset_neuron(gallery_conf, fname): + """Reset NEURON global HOC state between gallery examples. + + NEURON's interpreter keeps process-global state across examples run in one + process; clearing sections + time between examples keeps them independent. + """ + try: + import myogen # noqa: F401 (auto-loads mechanisms, sets up NEURON) + from neuron import h + + for sec in list(h.allsec()): + h.delete_section(sec=sec) + h.load_file("stdrun.hoc") + h.t = 0 + h.tstop = 0 + except (ImportError, RuntimeError, LookupError, AttributeError): + pass + + +conf = { + "examples_dirs": [ + str(_ROOT / "examples" / "01_basic"), + str(_ROOT / "examples" / "02_finetune"), + str(_ROOT / "examples" / "03_papers" / "watanabe"), + ], + "gallery_dirs": [ + str(_ROOT / "docs" / "auto_examples" / "01_basic"), + str(_ROOT / "docs" / "auto_examples" / "02_finetune"), + str(_ROOT / "docs" / "auto_examples" / "03_papers" / "watanabe"), + ], + "filename_pattern": r"\.py", + "ignore_pattern": r"(14_calibrate_noise_from_real|_oscillating_dc_helpers|_optimize_dc_worker)\.py", + "within_subsection_order": FileNameSortKey, + "image_scrapers": ("matplotlib",), + "reset_modules": (reset_neuron,), + "plot_gallery": True, +} diff --git a/examples/01_basic/README.md b/examples/01_basic/README.md new file mode 100644 index 00000000..5ee97675 --- /dev/null +++ b/examples/01_basic/README.md @@ -0,0 +1,9 @@ +# Basics + +This example gallery contains tutorials demonstrating core functionality and +workflow patterns. These examples cover the essential building blocks, from +motor-unit recruitment to EMG signal generation. + +The examples are self-contained and can be run independently, though they may +depend on each other for context. Following the numbered order provides the +best learning experience. diff --git a/examples/02_finetune/README.md b/examples/02_finetune/README.md new file mode 100644 index 00000000..a232c963 --- /dev/null +++ b/examples/02_finetune/README.md @@ -0,0 +1,11 @@ +# Step-by-step reproduction + +This example gallery contains tutorials for fine-tuning descending-drive +parameters to match target firing rates or force levels. Examples 01–04 form a +sequential chain and must be run in numbered order, since each example loads +results saved by its predecessor. + +- **01** optimises the descending drive to reproduce a target motor-unit firing rate. +- **02** uses those optimised parameters to compute the resulting muscle force. +- **03** re-optimises the drive to hit a specific force target (e.g. 30 % MVC). +- **04** extracts inter-spike intervals and their coefficient of variation across contraction ramps. diff --git a/examples/03_papers/watanabe/README.md b/examples/03_papers/watanabe/README.md new file mode 100644 index 00000000..3d60173c --- /dev/null +++ b/examples/03_papers/watanabe/README.md @@ -0,0 +1,7 @@ +# Watanabe and Kohn (2015) + +Reproduces findings from: + +> Watanabe, R.N., Kohn, A.F. (2015) *Fast Oscillatory Commands from the Motor +> Cortex Can Be Decoded by the Spinal Cord for Force Control.* J. Neurosci. +> 35:13687–13697. [DOI](https://doi.org/10.1523/JNEUROSCI.1950-15.2015) diff --git a/properdocs.yml b/properdocs.yml index 3c83993e..c147a79e 100644 --- a/properdocs.yml +++ b/properdocs.yml @@ -49,6 +49,9 @@ theme: plugins: - search - section-index + - gallery: + conf_script: docs/gallery_conf.py + plot_gallery: !ENV [MKDOCS_GALLERY_PLOT, true] - mkdocstrings: handlers: python: @@ -100,6 +103,10 @@ nav: - Home: index.md - Getting Started: getting-started.md - Neo blocks: neo-blocks.md + - Examples: + - Basics: auto_examples/01_basic/index.md + - Fine-tuning: auto_examples/02_finetune/index.md + - Watanabe (paper): auto_examples/03_papers/watanabe/index.md - API reference: - api/index.md - Top-level: api/myogen.md From ca99096794ca88d11f82f017b7301ae6cebcd142 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Raul=20C=2E=20S=C3=AEmpetru?= Date: Tue, 23 Jun 2026 13:59:59 +0300 Subject: [PATCH 23/60] ci(docs): build + deploy properdocs site to GitHub Pages; drop sphinx workflow --- .github/workflows/docs.yml | 69 ++++++++++++++++++++++++++++++++++++ .github/workflows/sphinx.yml | 42 ---------------------- 2 files changed, 69 insertions(+), 42 deletions(-) create mode 100644 .github/workflows/docs.yml delete mode 100644 .github/workflows/sphinx.yml diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml new file mode 100644 index 00000000..f0fac100 --- /dev/null +++ b/.github/workflows/docs.yml @@ -0,0 +1,69 @@ +name: Docs + +on: + push: + branches: [main] + pull_request: + workflow_dispatch: + +permissions: + contents: read + pages: write + id-token: write + +# Never run two Pages deployments concurrently. +concurrency: + group: pages + cancel-in-progress: false + +jobs: + build: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v6 + + # NEURON + MPI system libraries: the example gallery executes the + # NEURON-based examples at build time, so these must be present (same + # set the old Sphinx docs workflow installed). + - name: Install NEURON/MPI system dependencies + run: | + sudo apt-get update + sudo apt-get install -y \ + libegl1-mesa-dev libgtk2.0-dev \ + openmpi-bin openmpi-common libopenmpi-dev \ + infiniband-diags ibverbs-utils libibverbs-dev \ + libfabric1 libfabric-dev libpsm2-dev librdmacm-dev + + - name: Set up uv + uses: astral-sh/setup-uv@v8.1.0 + with: + enable-cache: true + + - name: Sync project + docs/nwb extras + run: uv sync --locked --group docs --extra nwb + + - name: Compile NMODL mechanisms + run: uv run poe setup_myogen + + - name: Build docs site (executes the example gallery) + run: uv run --group docs properdocs build + + - name: Upload Pages artifact + if: github.event_name == 'push' && github.ref == 'refs/heads/main' + uses: actions/upload-pages-artifact@v5 + with: + path: site + + deploy: + if: github.event_name == 'push' && github.ref == 'refs/heads/main' + needs: build + runs-on: ubuntu-latest + environment: + name: github-pages + url: ${{ steps.deploy.outputs.page_url }} + steps: + - name: Configure Pages + uses: actions/configure-pages@v6 + - name: Deploy to GitHub Pages + id: deploy + uses: actions/deploy-pages@v5 diff --git a/.github/workflows/sphinx.yml b/.github/workflows/sphinx.yml deleted file mode 100644 index 8daf0d1e..00000000 --- a/.github/workflows/sphinx.yml +++ /dev/null @@ -1,42 +0,0 @@ -name: publish-docs - -on: - release: - types: [published] - workflow_dispatch: - -jobs: - deploy-docs: - runs-on: ubuntu-latest - steps: - - uses: actions/checkout@v5 - - - name: Set up Python 3.12 - uses: actions/setup-python@v6 - with: - python-version: 3.12.8 - - - name: Install dependencies - run: | - sudo apt update && sudo apt install -y libegl1-mesa-dev - sudo apt-get update && sudo apt-get install infiniband-diags ibverbs-utils libibverbs-dev libfabric1 libfabric-dev libpsm2-dev -y - sudo apt-get install openmpi-bin openmpi-common libopenmpi-dev libgtk2.0-dev - sudo apt-get install librdmacm-dev libpsm2-dev - python -m pip install --upgrade pip - python -m pip install uv - uv sync --group docs - uv run poe setup_myogen - - - name: Build the docs - run: | - source .venv/bin/activate - cd docs - make clean - make html || make html # Retry once if first build fails (NEURON state issue) - cd .. - - - name: Deploy - uses: peaceiris/actions-gh-pages@v4 - with: - github_token: ${{ secrets.GITHUB_TOKEN }} - publish_dir: docs/build/html From a1a803512016ba6d7a51fd9c446218e216e46b5b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Raul=20C=2E=20S=C3=AEmpetru?= Date: Tue, 23 Jun 2026 14:08:30 +0300 Subject: [PATCH 24/60] docs(gallery): default to source-only rendering (no execution) Many MyoGen examples use multiprocessing/joblib (which breaks under the gallery's exec context) or form slow inter-dependent chains, so executing the gallery in CI is unreliable. Render examples as source + prose with full-code download links instead; opt into execution with MKDOCS_GALLERY_PLOT=true. --- docs/gallery_conf.py | 3 ++- properdocs.yml | 7 ++++++- 2 files changed, 8 insertions(+), 2 deletions(-) diff --git a/docs/gallery_conf.py b/docs/gallery_conf.py index beb6666d..69385145 100644 --- a/docs/gallery_conf.py +++ b/docs/gallery_conf.py @@ -50,5 +50,6 @@ def reset_neuron(gallery_conf, fname): "within_subsection_order": FileNameSortKey, "image_scrapers": ("matplotlib",), "reset_modules": (reset_neuron,), - "plot_gallery": True, + # Source-only by default; overridden from properdocs.yml via MKDOCS_GALLERY_PLOT. + "plot_gallery": False, } diff --git a/properdocs.yml b/properdocs.yml index c147a79e..24b6285e 100644 --- a/properdocs.yml +++ b/properdocs.yml @@ -51,7 +51,12 @@ plugins: - section-index - gallery: conf_script: docs/gallery_conf.py - plot_gallery: !ENV [MKDOCS_GALLERY_PLOT, true] + # Source-only by default: examples render as markdown (prose + code) with + # "download full example code" links, but are NOT executed — many MyoGen + # examples use multiprocessing/joblib (which breaks under gallery exec) or + # form slow inter-dependent chains. Opt in to execution locally with + # MKDOCS_GALLERY_PLOT=true. + plot_gallery: !ENV [MKDOCS_GALLERY_PLOT, false] - mkdocstrings: handlers: python: From 80856428957aa48e348e3db38a8a08711ec93821 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Raul=20C=2E=20S=C3=AEmpetru?= Date: Tue, 23 Jun 2026 14:12:09 +0300 Subject: [PATCH 25/60] docs: remove Sphinx scaffolding after properdocs migration --- .github/workflows/docs.yml | 8 +- docs/Makefile | 26 - docs/README.md | 60 -- docs/make.bat | 35 - docs/neo_blocks.md | 127 --- docs/source/README.md | 149 ---- docs/source/_static/custom.css | 277 ------- docs/source/_static/custom.js | 217 ------ docs/source/_static/myogen_logo.png | Bin 212383 -> 0 bytes docs/source/api/currents_api.rst | 18 - docs/source/api/index.rst | 67 -- docs/source/api/myogen_api.rst | 31 - docs/source/api/neuron_api.rst | 15 - docs/source/api/plotting_api.rst | 19 - docs/source/api/simulator_api.rst | 168 ---- docs/source/api/types_api.rst | 117 --- docs/source/api/utils_api.rst | 146 ---- docs/source/conf.py | 736 ------------------ docs/source/examples.rst | 59 -- docs/source/index.md | 293 ------- docs/source/index.rst.backup | 53 -- docs/source/neo_blocks_guide.rst | 386 --------- docs/source/templates/autosummary/class.rst | 34 - docs/source/templates/autosummary/data.rst | 6 - .../source/templates/autosummary/function.rst | 5 - docs/source/templates/header-text.html | 5 - docs/source/templates/navbar-version.html | 15 - examples/01_basic/README.rst | 11 - examples/02_finetune/README.rst | 13 - examples/03_papers/README.rst | 57 -- examples/03_papers/watanabe/README.rst | 8 - 31 files changed, 4 insertions(+), 3157 deletions(-) delete mode 100644 docs/Makefile delete mode 100644 docs/README.md delete mode 100644 docs/make.bat delete mode 100644 docs/neo_blocks.md delete mode 100644 docs/source/README.md delete mode 100644 docs/source/_static/custom.css delete mode 100644 docs/source/_static/custom.js delete mode 100644 docs/source/_static/myogen_logo.png delete mode 100644 docs/source/api/currents_api.rst delete mode 100644 docs/source/api/index.rst delete mode 100644 docs/source/api/myogen_api.rst delete mode 100644 docs/source/api/neuron_api.rst delete mode 100644 docs/source/api/plotting_api.rst delete mode 100644 docs/source/api/simulator_api.rst delete mode 100644 docs/source/api/types_api.rst delete mode 100644 docs/source/api/utils_api.rst delete mode 100644 docs/source/conf.py delete mode 100644 docs/source/examples.rst delete mode 100644 docs/source/index.md delete mode 100644 docs/source/index.rst.backup delete mode 100644 docs/source/neo_blocks_guide.rst delete mode 100644 docs/source/templates/autosummary/class.rst delete mode 100644 docs/source/templates/autosummary/data.rst delete mode 100644 docs/source/templates/autosummary/function.rst delete mode 100644 docs/source/templates/header-text.html delete mode 100644 docs/source/templates/navbar-version.html delete mode 100644 examples/01_basic/README.rst delete mode 100644 examples/02_finetune/README.rst delete mode 100644 examples/03_papers/README.rst delete mode 100644 examples/03_papers/watanabe/README.rst diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml index f0fac100..5bf023ca 100644 --- a/.github/workflows/docs.yml +++ b/.github/workflows/docs.yml @@ -22,9 +22,9 @@ jobs: steps: - uses: actions/checkout@v6 - # NEURON + MPI system libraries: the example gallery executes the - # NEURON-based examples at build time, so these must be present (same - # set the old Sphinx docs workflow installed). + # NEURON + MPI system libraries: the build imports myogen for the + # mkdocstrings API reference (and supports opt-in gallery execution via + # MKDOCS_GALLERY_PLOT=true). Same set the old Sphinx docs workflow used. - name: Install NEURON/MPI system dependencies run: | sudo apt-get update @@ -45,7 +45,7 @@ jobs: - name: Compile NMODL mechanisms run: uv run poe setup_myogen - - name: Build docs site (executes the example gallery) + - name: Build docs site run: uv run --group docs properdocs build - name: Upload Pages artifact diff --git a/docs/Makefile b/docs/Makefile deleted file mode 100644 index 65946377..00000000 --- a/docs/Makefile +++ /dev/null @@ -1,26 +0,0 @@ -# Minimal makefile for Sphinx documentation -# - -# You can set these variables from the command line, and also -# from the environment for the first two. -SPHINXOPTS ?= -SPHINXBUILD ?= sphinx-build -SOURCEDIR = source -BUILDDIR = build - -# Put it first so that "make" without argument is like "make help". -help: - @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) - -# Serve documentation locally with HTTP server (required for hoverxref tooltips to work) -serve: - @echo "Serving documentation at http://localhost:8000" - @echo "Press Ctrl+C to stop" - @cd $(BUILDDIR)/html && python -m http.server 8000 - -.PHONY: help serve Makefile - -# Catch-all target: route all unknown targets to Sphinx using the new -# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). -%: Makefile - @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) diff --git a/docs/README.md b/docs/README.md deleted file mode 100644 index 8373338e..00000000 --- a/docs/README.md +++ /dev/null @@ -1,60 +0,0 @@ -# MyoGen Documentation - -This directory contains the source files for MyoGen's Sphinx documentation. - -## Building the Documentation - -```bash -# From the docs directory -make html -``` - -The built documentation will be in `build/html/`. - -## Viewing the Documentation - -**Important:** Hover tooltips (hoverxref) require viewing the documentation via HTTP server, not by opening `file://` URLs directly. - -### Option 1: Using the serve script (recommended) - -```bash -cd docs -./serve_docs.sh -``` - -Then open http://localhost:8000 in your browser. - -### Option 2: Manual Python server - -```bash -cd docs/build/html -python -m http.server 8000 -``` - -Then open http://localhost:8000 in your browser. - -### Why is this necessary? - -The hoverxref extension uses AJAX to fetch tooltip content. Browsers block AJAX requests from `file://` URLs for security reasons, causing tooltips to show "Loading..." indefinitely. Serving via HTTP resolves this issue. - -## Documentation Structure - -- `source/` - RST source files - - `api/` - API reference documentation - - `auto_examples/` - Generated example galleries (auto-generated) - - `_static/` - Static files (CSS, JS, images) - - `templates/` - Custom Sphinx templates - - `generated/` - Auto-generated API docs (auto-generated) -- `build/` - Built documentation (generated, not tracked in git) - -## Making Changes - -1. Edit RST files in `source/` -2. Rebuild: `make html` -3. View changes: `./serve_docs.sh` - -## Cleaning Build - -```bash -make clean -``` diff --git a/docs/make.bat b/docs/make.bat deleted file mode 100644 index dc1312ab..00000000 --- a/docs/make.bat +++ /dev/null @@ -1,35 +0,0 @@ -@ECHO OFF - -pushd %~dp0 - -REM Command file for Sphinx documentation - -if "%SPHINXBUILD%" == "" ( - set SPHINXBUILD=sphinx-build -) -set SOURCEDIR=source -set BUILDDIR=build - -%SPHINXBUILD% >NUL 2>NUL -if errorlevel 9009 ( - echo. - echo.The 'sphinx-build' command was not found. Make sure you have Sphinx - echo.installed, then set the SPHINXBUILD environment variable to point - echo.to the full path of the 'sphinx-build' executable. Alternatively you - echo.may add the Sphinx directory to PATH. - echo. - echo.If you don't have Sphinx installed, grab it from - echo.https://www.sphinx-doc.org/ - exit /b 1 -) - -if "%1" == "" goto help - -%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% -goto end - -:help -%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% - -:end -popd diff --git a/docs/neo_blocks.md b/docs/neo_blocks.md deleted file mode 100644 index 5b6bbdaa..00000000 --- a/docs/neo_blocks.md +++ /dev/null @@ -1,127 +0,0 @@ -# Neo Blocks in MyoGen - -MyoGen uses Neo Block objects to store simulation results with automatic unit tracking and metadata. - -## Block Types - -| Block Type | What it stores | Shape | Access Pattern | -|------------|---------------|-------|----------------| -| SPIKE_TRAIN__Block | Spike times | `(n_spikes,)` | `block.segments[pool].spiketrains[neuron]` | -| SURFACE_MUAP__Block | MUAP templates (surface grid) | `(time, rows, cols)` | `block.groups[array].segments[mu].analogsignals[0]` | -| SURFACE_EMG__Block | EMG signals (surface grid) | `(time, rows, cols)` | `block.groups[array].segments[pool].analogsignals[0]` | -| INTRAMUSCULAR_MUAP__Block | MUAP templates (needle) | `(time, electrodes)` | `block.segments[mu].analogsignals[0]` | -| INTRAMUSCULAR_EMG__Block | EMG signals (needle) | `(time, electrodes)` | `block.segments[pool].analogsignals[0]` | - -## Structure Diagrams - -``` -SPIKE_TRAIN__Block SURFACE_EMG__Block / SURFACE_MUAP__Block -────────────────── ──────────────────────────────────────── -Block Block -└── Segment[pool_idx] └── Group[array_idx] - └── SpikeTrain[neuron_idx] └── Segment[pool/muap_idx] - → [t1, t2, t3, ...] └── AnalogSignal[0] - → 3D array (time × rows × cols) - -INTRAMUSCULAR_EMG__Block / INTRAMUSCULAR_MUAP__Block -──────────────────────────────────────────────────── -Block -└── Segment[pool/muap_idx] - └── AnalogSignal[0] - → 2D array (time × electrodes) -``` - -## Quick Start - -```python -import joblib - -# Load -data = joblib.load("results.pkl") - -# Spike trains -spike_times = data.segments[0].spiketrains[0].magnitude # numpy array - -# Surface EMG/MUAP (3D grid) -signal = data.groups[0].segments[0].analogsignals[0] -electrode_trace = signal[:, row, col].magnitude # single electrode -time = signal.times.magnitude - -# Intramuscular EMG/MUAP (2D array) -signal = data.segments[0].analogsignals[0] -electrode_trace = signal[:, electrode_idx].magnitude -``` - -## Common Operations - -```python -# Metadata -signal.sampling_rate # e.g., 2048 Hz -signal.t_start / t_stop # Start/stop time -signal.units # e.g., mV, µV -signal.shape # Array dimensions - -# Convert to numpy -values = signal.magnitude -time = signal.times.magnitude - -# Slice time window -windowed = spiketrain.time_slice(t_start, t_stop) - -# Calculate RMS -rms = np.sqrt(np.mean(signal.magnitude ** 2)) - -# Mean firing rate (spikes over the active duration) -rate = (len(spiketrain) / (spiketrain.t_stop - spiketrain.t_start)).rescale("Hz") -``` - -## Iteration Examples - -```python -# All spike trains -for segment in block.segments: - for st in segment.spiketrains: - print(f"{st.name}: {len(st)} spikes") - -# All surface MUAPs -for group in block.groups: - for segment in group.segments: - muap = segment.analogsignals[0] - print(f"{segment.name}: shape {muap.shape}") - -# All intramuscular signals -for segment in block.segments: - signal = segment.analogsignals[0] - print(f"{segment.name}: shape {signal.shape}") -``` - -## Key Differences - -| | Surface | Intramuscular | -|--|---------|---------------| -| **Electrodes** | 2D grid (rows × cols) | 1D array | -| **Signal shape** | 3D: `(time, rows, cols)` | 2D: `(time, electrodes)` | -| **Has Groups?** | Yes (multiple arrays) | No | - -| | MUAP | EMG | -|--|------|-----| -| **Duration** | Short (~10-50ms) | Long (full simulation) | -| **Content** | Template per motor unit | Full signal (MUAPs convolved with spikes) | -| **Segments named** | `MUAP_0`, `MUAP_1`... | `Pool_0`, `Pool_1`... | - -## Troubleshooting - -**`AttributeError: 'Block' object has no attribute 'groups'`** -→ This is a spike train or intramuscular block. Use `block.segments` instead. - -**`IndexError` when accessing electrodes** -→ Check shape first: `print(signal.shape)` - -**Values seem wrong** -→ Check units: `print(signal.units)` and use `signal.rescale(pq.mV)` if needed. - -## See Also - -- Example: `examples/01_basic/12_extract_data_from_neo_blocks.py` -- Neo docs: https://neo.readthedocs.io/ -- Elephant docs: https://elephant.readthedocs.io/ diff --git a/docs/source/README.md b/docs/source/README.md deleted file mode 100644 index 25a89c8b..00000000 --- a/docs/source/README.md +++ /dev/null @@ -1,149 +0,0 @@ -
- - -
- - [![Documentation](https://img.shields.io/badge/docs-latest-blue.svg)](https://nsquaredlab.github.io/MyoGen/) - [![Python 3.12+](https://img.shields.io/badge/python-3.12+-blue.svg)](https://www.python.org/downloads/) - [![Version](https://img.shields.io/badge/version-0.5.0-orange.svg)](https://github.com/NsquaredLab/MyoGen) - - [Installation](#installation) • - [Documentation](https://nsquaredlab.github.io/MyoGen/) • - [Examples](https://nsquaredlab.github.io/MyoGen/examples/) • - [Paper](#citation) -
- -# MyoGen - The modular and extensible simulation toolkit for neurophysiology - -MyoGen is a **modular and extensible neuromuscular simulation framework** for generating physiologically grounded motor-unit activity, muscle force, and surface EMG signals. - -It supports end-to-end modeling of the neuromuscular pathway, from descending neural drive and spinal motor neuron dynamics to muscle activation and bioelectric signal formation at the electrode level. -MyoGen is designed for algorithm validation, hypothesis-driven research, and education, providing configurable building blocks that can be independently combined and extended. - -## Highlights - -🧬 **Biophysically inspired neuron models** — NEURON-based motor neurons with validated calcium dynamics and membrane properties - -🎯 **Everything is inspectable** — Complete access to every motor unit, spike time, fiber location etc. for rigorous algorithm testing - -⚡️ **Vectorized & parallel** — Multi-core CPU processing with NumPy/Numba vectorization for fast computation - -🔬 **End-to-end simulation** — From motor unit recruitment to high-density surface EMG in a single framework - -📊 **Reproducible science** — Deterministic random seeds and standardized Neo Block outputs for exact replication - -🧰 **Comprehensive toolkit** — Surface EMG, intramuscular EMG, force generation, and spinal network modeling - -## Installation - -**Prerequisites**: Python ≥3.12, Linux/Windows/macOS - -> [!IMPORTANT] -> **Windows users**: Install [NEURON 8.2.7](https://github.com/neuronsimulator/nrn/releases/download/8.2.7/nrn-8.2.7.w64-mingw-py-39-310-311-312-313-setup.exe) before running `uv sync` - -```bash -# Clone and install -git clone https://github.com/NsquaredLab/MyoGen.git -cd MyoGen -uv sync - -# Activate environment -source .venv/bin/activate # Linux/macOS -.venv\Scripts\activate # Windows - -# Compile NEURON mechanisms (required) -uv run poe setup_myogen -``` - -> [!TIP] -> Install [uv](https://docs.astral.sh/uv/) first - -**GPU acceleration of convoutions** (optional): -```bash -uv pip install cupy-cuda12x # 5-10× speedup -``` - -## Quick Start - -Generate motor unit action potentials (MUAPs): - -```python -from myogen import simulator -import quantities as pq - -# 1. Generate recruitment thresholds (100 motor units) -thresholds, _ = simulator.RecruitmentThresholds( - N=100, - recruitment_range__ratio=50, - mode="fuglevand" -) - -# 2. Create muscle model with fiber distribution -muscle = simulator.Muscle( - recruitment_thresholds=thresholds, - radius_bone__mm=1.0 * pq.mm, - fiber_density__fibers_per_mm2=400 * pq.mm**-2, - fat_thickness__mm=10 * pq.mm, - autorun=True -) - -# 3. Set up surface electrode array -electrode_array = simulator.SurfaceElectrodeArray( - num_rows=5, - num_cols=5, - inter_electrode_distance__mm=5 * pq.mm, - electrode_radius__mm=5 * pq.mm, - bending_radius__mm=muscle.radius__mm + muscle.skin_thickness__mm + muscle.fat_thickness__mm, -) - -# 4. Create surface EMG simulator -surface_emg = simulator.SurfaceEMG( - muscle_model=muscle, - electrode_arrays=[electrode_array], - sampling_frequency__Hz=2048.0, - MUs_to_simulate=[0, 1, 2, 3, 4] # First 5 motor units -) - -# 5. Simulate MUAPs (parallel processing) -muaps = surface_emg.simulate_muaps(n_jobs=-2) -``` - -**Access MUAP data**: - -```python -import numpy as np - -# Get MUAP from motor unit 0 -muap_signal = muaps.groups[0].segments[0].analogsignals[0] -print(f"MUAP shape: {muap_signal.shape}") # (time, rows, cols) - -# Extract from specific electrode (row 2, col 2) -electrode_muap = muap_signal[:, 2, 2] -peak_amplitude = np.max(np.abs(electrode_muap.magnitude)) -print(f"Peak amplitude: {peak_amplitude:.3f} {electrode_muap.units}") -``` - -**For full EMG simulation** with spike trains, see [examples](https://nsquaredlab.github.io/MyoGen/examples/) - -## Documentation - -📖 **[Read the full documentation](https://nsquaredlab.github.io/MyoGen/)** - -- [User Guide](https://nsquaredlab.github.io/MyoGen/neo_blocks_guide.html) — Working with simulation outputs -- [API Reference](https://nsquaredlab.github.io/MyoGen/api/) — Complete class documentation -- [Examples](examples/) — 9 step-by-step tutorials from recruitment to EMG - -## Citation - -If you use MyoGen in your research, please cite: - -TBD - -## Contributing - -Contributions welcome! See [issues](https://github.com/NsquaredLab/MyoGen/issues) if you want to add a feature or fix a bug. - -## License - -MyoGen is AGPL licensed. See [LICENSE](https://github.com/NsquaredLab/MyoGen/LICENSE.md) for details. - diff --git a/docs/source/_static/custom.css b/docs/source/_static/custom.css deleted file mode 100644 index 63f0e7a2..00000000 --- a/docs/source/_static/custom.css +++ /dev/null @@ -1,277 +0,0 @@ -html[data-theme="dark"] img { - filter: none; -} -html[data-theme="dark"] .bd-content img:not(.only-dark):not(.dark-light) { - background: unset; -} - -/* Add bottom margin to the logo image */ -.top-logo-spacing { - margin-bottom: 2em; /* Adjust value as needed */ -} - -/* Increase main article width */ -/* https://pydata-sphinx-theme.readthedocs.io/en/stable/user_guide/layout.html */ -.bd-main .bd-content .bd-article-container { - max-width: 80em; /* default is 60em */ -} - -.bd-page-width { - max-width: 100em; /* default is 88rem */ -} - -/* Hide Sphinx gallery download link notes */ -.sphx-glr-download-link-note.admonition.note { - display: none; -} - -.sphx-glr-footer.sphx-glr-footer-example.docutils.container { - display: none; -} - -.mermaid { - background-color: #ffffff; -} - -/* Improved API documentation styling for vertical parameter display */ -/* Force function/method signatures to display parameters vertically */ -.sig.sig-object { - font-family: 'SFMono-Regular', Monaco, 'Inconsolata', 'Liberation Mono', 'Courier New', monospace !important; - font-size: 0.9em; - line-height: 1.6; - padding: 1rem; - background: var(--color-code-background); - border: 1px solid var(--color-background-border); - border-radius: 0.375rem; - margin: 1rem 0; - overflow-x: auto; -} - -.sig-name { - font-weight: 600; - color: var(--color-api-name); -} - -.sig-paren { - font-weight: normal; -} - -/* Force parameters to display vertically */ -.sig-param { - display: block !important; - padding-left: 2rem; - margin: 0.25rem 0; - text-indent: 0; -} - -/* Improve parameter display */ -.sig .o { - color: var(--color-api-pre-name); -} - -.sig .n { - color: var(--color-api-name); -} - -.sig .p { - color: var(--color-inline-code-links); 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z^ZA{JPKDc8q^|NbsA&f$0qqiSq~!cupOE>(>fv7x0-$&qhSi_l(M36v$RqH;f#JZhB)88meDOTiEvcj!3oF zTCr#*)=uf?ukQyuPk5ZL2+@m;I0T8$Tp*)T^R}kDb?fQWd^`PBY^Y7=Qtm)HXLjLM uK%d+*>ge*zUx)8y1cs^=V`jrPg&GX>N*$E7AVWbA-1$pC<^4$d_5T4N4Ti=5 diff --git a/docs/source/api/currents_api.rst b/docs/source/api/currents_api.rst deleted file mode 100644 index d3c6aadf..00000000 --- a/docs/source/api/currents_api.rst +++ /dev/null @@ -1,18 +0,0 @@ -Current Generation -================== - -This module contains functions for generating various input current waveforms (ramp, step, sinusoidal, etc.). - - -.. currentmodule:: myogen.utils.currents - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/function.rst - :recursive: - - create_ramp_current - create_step_current - create_sinusoidal_current - create_sawtooth_current - create_trapezoid_current \ No newline at end of file diff --git a/docs/source/api/index.rst b/docs/source/api/index.rst deleted file mode 100644 index 9815fbee..00000000 --- a/docs/source/api/index.rst +++ /dev/null @@ -1,67 +0,0 @@ -API Documentation -================= - -Welcome to the MyoGen API reference! -This section provides a complete overview of all modules, classes, and functions available in MyoGen for neuromuscular simulation and analysis. - -MyoGen is organized into the following modules: - -.. grid:: 2 - :gutter: 0 - :margin: 0 - - .. card:: MyoGen Core - :link: myogen_api.html - :class-card: sd-shadow-xs sd-bg-light myogen-card - - Package-level functions and global objects for random number generation and setup. - - .. card:: Simulator - :link: simulator_api.html - :class-card: sd-shadow-xs sd-bg-light myogen-card - - Core functionality for neuromuscular simulation, including motor unit recruitment, muscle modeling, and EMG generation. - - .. card:: Utils - :link: utils_api.html - :class-card: sd-shadow-xs sd-bg-light myogen-card - - Utility functions for setup, NMODL file handling, current generation, plotting, and type definitions. - - .. card:: Currents - :link: currents_api.html - :class-card: sd-shadow-xs sd-bg-light myogen-card - - Functions for generating various input current waveforms (ramp, step, sinusoidal, etc.). *(Submodule of Utils)* - - .. card:: Plotting - :link: plotting_api.html - :class-card: sd-shadow-xs sd-bg-light myogen-card - - Visualization tools for simulation results and analysis. *(Submodule of Utils)* - - .. card:: Types - :link: types_api.html - :class-card: sd-shadow-xs sd-bg-light myogen-card - - Type definitions for structured data and type safety. *(Submodule of Utils)* - -**How to use this documentation:** - -- Click on a module above to see all its classes and functions. -- Each API page provides autosummary tables with links to detailed docstrings and usage examples. -- For a practical introduction, see the `examples` section in the documentation sidebar. - -If you are new to MyoGen, start with the Simulator module to understand the core simulation workflow, then explore the utility and plotting modules as needed. - -If you have questions or need further help, please refer to the `README <../../README.md>`_ or open an issue on `GitHub `_. - - -.. toctree:: - :maxdepth: 2 - :caption: API Modules - :hidden: - - myogen_api - simulator_api - utils_api \ No newline at end of file diff --git a/docs/source/api/myogen_api.rst b/docs/source/api/myogen_api.rst deleted file mode 100644 index a59c3ce8..00000000 --- a/docs/source/api/myogen_api.rst +++ /dev/null @@ -1,31 +0,0 @@ -MyoGen Core -=========== - -This module contains the core MyoGen package-level functions and objects for random number generation and setup. - - -.. currentmodule:: myogen - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/function.rst - :recursive: - - set_random_seed - load_nmodl_mechanisms - -Global Objects --------------- - -.. data:: RANDOM_GENERATOR - :type: numpy.random.Generator - - Global random number generator for reproducibility across MyoGen simulations. - - This is a :class:`numpy.random.Generator` instance initialized with the default seed. - Use :func:`set_random_seed` to change the seed for reproducible simulations. - -.. data:: SEED - :type: int - - Default random seed value (180319) used to initialize :data:`RANDOM_GENERATOR`. diff --git a/docs/source/api/neuron_api.rst b/docs/source/api/neuron_api.rst deleted file mode 100644 index 4a720947..00000000 --- a/docs/source/api/neuron_api.rst +++ /dev/null @@ -1,15 +0,0 @@ -NEURON Utilities -================ - -This module contains utilities for working with NEURON simulations, including current injection and spike train recording. - - -.. currentmodule:: myogen.utils.neuron.inject_currents_into_populations - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/function.rst - :recursive: - - inject_currents_into_populations - inject_currents_and_simulate_spike_trains diff --git a/docs/source/api/plotting_api.rst b/docs/source/api/plotting_api.rst deleted file mode 100644 index cd729daa..00000000 --- a/docs/source/api/plotting_api.rst +++ /dev/null @@ -1,19 +0,0 @@ -Plotting & Visualization -======================== - -This module contains functions for visualizing simulation results and analysis. -All functions will return an Axes or a list of Axes for use in matplotlib. - -.. currentmodule:: myogen.utils.plotting - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/function.rst - :recursive: - - plot_raster_spikes - plot_membrane_potentials - plot_muscle_dynamics - plot_antagonist_muscle_comparison - plot_spindle_dynamics - plot_gto_dynamics \ No newline at end of file diff --git a/docs/source/api/simulator_api.rst b/docs/source/api/simulator_api.rst deleted file mode 100644 index b0f5672f..00000000 --- a/docs/source/api/simulator_api.rst +++ /dev/null @@ -1,168 +0,0 @@ -Simulator Module -================ - -.. currentmodule:: myogen.simulator - -Motor Unit Recruitment Thresholds -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/class.rst - :recursive: - - RecruitmentThresholds - -Neuron Populations -^^^^^^^^^^^^^^^^^^ - -.. currentmodule:: myogen.simulator.neuron.populations - -Base Class ----------- - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/class.rst - :recursive: - - _Pool - -Population Classes ------------------- - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/class.rst - :recursive: - - AlphaMN__Pool - DescendingDrive__Pool - AffIa__Pool - AffII__Pool - AffIb__Pool - GII__Pool - GIb__Pool - -Network -------- - -.. currentmodule:: myogen.simulator.neuron.network - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/class.rst - :recursive: - - Network - -Simulation Runner ------------------ - -.. currentmodule:: myogen.simulator.neuron.simulation_runner - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/class.rst - :recursive: - - SimulationRunner - -.. currentmodule:: myogen.simulator - -Muscle Model -^^^^^^^^^^^^ - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/class.rst - :recursive: - - Muscle - -Hill Muscle Model -^^^^^^^^^^^^^^^^^ - -.. currentmodule:: myogen.simulator.neuron.muscle - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/class.rst - :recursive: - - HillModel - -Proprioception Models -^^^^^^^^^^^^^^^^^^^^^ - -.. currentmodule:: myogen.simulator.neuron.proprioception - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/class.rst - :recursive: - - SpindleModel - GolgiTendonOrganModel - -Joint Dynamics -^^^^^^^^^^^^^^ - -.. currentmodule:: myogen.simulator.neuron.joint_dynamics - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/class.rst - :recursive: - - JointDynamics - -.. currentmodule:: myogen.simulator - -Force Model -^^^^^^^^^^^ - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/class.rst - :recursive: - - ForceModel - -Biomechanics -^^^^^^^^^^^^ - -.. currentmodule:: myogen.simulator.core.force - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/class.rst - :recursive: - - MuscleGeometry - JointGeometry - JointBiomechanics - -.. currentmodule:: myogen.simulator - -Electrodes -^^^^^^^^^^ - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/class.rst - :recursive: - - SurfaceElectrodeArray - IntramuscularElectrodeArray - -EMG Generation -^^^^^^^^^^^^^^ - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/class.rst - :recursive: - - SurfaceEMG - IntramuscularEMG diff --git a/docs/source/api/types_api.rst b/docs/source/api/types_api.rst deleted file mode 100644 index 790a68eb..00000000 --- a/docs/source/api/types_api.rst +++ /dev/null @@ -1,117 +0,0 @@ -Type Definitions -================ - -This module contains type definitions for structured data and type safety with Beartype validation. - -.. currentmodule:: myogen.utils.types - -Physical Quantity Types -^^^^^^^^^^^^^^^^^^^^^^^ - -Time Units ----------- - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/data.rst - - Quantity__s - Quantity__ms - -Angles ------- - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/data.rst - - Quantity__rad - Quantity__deg - -Electrical Potential --------------------- - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/data.rst - - Quantity__mV - Quantity__uV - -Electrical Current ------------------- - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/data.rst - - Quantity__nA - -Electrical Conductance ----------------------- - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/data.rst - - Quantity__uS - Quantity__S_per_m - -Frequency ---------- - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/data.rst - - Quantity__Hz - Quantity__pps - -Length & Areas --------------- - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/data.rst - - Quantity__mm - Quantity__m - Quantity__mm2 - Quantity__per_mm2 - -Velocity --------- - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/data.rst - - Quantity__m_per_s - Quantity__mm_per_s - -Signal Types (Neo) -^^^^^^^^^^^^^^^^^^ - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/data.rst - - CURRENT__AnalogSignal - FORCE__AnalogSignal - SPIKE_TRAIN__Block - SURFACE_MUAP__Block - SURFACE_EMG__Block - INTRAMUSCULAR_MUAP__Block - INTRAMUSCULAR_EMG__Block - -Array Types -^^^^^^^^^^^ - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/data.rst - - CORTICAL_INPUT__MATRIX - RECRUITMENT_THRESHOLDS__ARRAY - JOINT_ANGLE__ARRAY - MOMENT_ARM__MATRIX diff --git a/docs/source/api/utils_api.rst b/docs/source/api/utils_api.rst deleted file mode 100644 index 2bb9275b..00000000 --- a/docs/source/api/utils_api.rst +++ /dev/null @@ -1,146 +0,0 @@ -Utils Module -============ - -This module contains utility functions for setup, NMODL file handling, current generation, plotting, and type definitions. - - -Current Generation -^^^^^^^^^^^^^^^^^^ - -.. currentmodule:: myogen.utils.currents - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/function.rst - - create_ramp_current - create_step_current - create_sinusoidal_current - create_sawtooth_current - create_trapezoid_current - - -NEURON Utilities -^^^^^^^^^^^^^^^^ - -.. currentmodule:: myogen.utils.neuron.inject_currents_into_populations - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/function.rst - - inject_currents_into_populations - inject_currents_and_simulate_spike_trains - - -Continuous Saver -^^^^^^^^^^^^^^^^ - -.. currentmodule:: myogen.utils.continuous_saver - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/class.rst - - ContinuousSaver - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/function.rst - - convert_chunks_to_neo - - -NWB Export -^^^^^^^^^^ - -Export simulation data to Neurodata Without Borders (NWB) format for sharing -and interoperability with the broader neuroscience ecosystem. - -.. note:: - NWB export requires optional dependencies. Install with: ``pip install myogen[nwb]`` - -.. currentmodule:: myogen.utils.nwb - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/function.rst - - export_to_nwb - export_simulation_to_nwb - validate_nwb - - -Plotting & Visualization -^^^^^^^^^^^^^^^^^^^^^^^^^ - -.. currentmodule:: myogen.utils.plotting - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/function.rst - - plot_raster_spikes - plot_membrane_potentials - plot_muscle_dynamics - plot_antagonist_muscle_comparison - plot_spindle_dynamics - plot_gto_dynamics - - -Type Definitions -^^^^^^^^^^^^^^^^ - -.. currentmodule:: myogen.utils.types - -Quantity Types -"""""""""""""" - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/data.rst - - Quantity__s - Quantity__ms - Quantity__rad - Quantity__deg - Quantity__mV - Quantity__uV - Quantity__nA - Quantity__uS - Quantity__S_per_m - Quantity__Hz - Quantity__pps - Quantity__mm - Quantity__m - Quantity__mm2 - Quantity__per_mm2 - Quantity__m_per_s - Quantity__mm_per_s - -Neo Data Types -"""""""""""""" - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/data.rst - - CURRENT__AnalogSignal - FORCE__AnalogSignal - SPIKE_TRAIN__Block - SURFACE_MUAP__Block - SURFACE_EMG__Block - INTRAMUSCULAR_MUAP__Block - INTRAMUSCULAR_EMG__Block - -Matrix & Array Types -"""""""""""""""""""" - -.. autosummary:: - :toctree: ../generated/ - :template: autosummary/data.rst - - CORTICAL_INPUT__MATRIX - RECRUITMENT_THRESHOLDS__ARRAY - JOINT_ANGLE__ARRAY - MOMENT_ARM__MATRIX \ No newline at end of file diff --git a/docs/source/conf.py b/docs/source/conf.py deleted file mode 100644 index 24490fb3..00000000 --- a/docs/source/conf.py +++ /dev/null @@ -1,736 +0,0 @@ -import sys -from datetime import datetime -from pathlib import Path - -import toml -from sphinx_gallery.sorting import ExplicitOrder, FileNameSortKey - - -def reset_neuron(gallery_conf, fname): - """ - Reset NEURON state between Sphinx Gallery examples. - - NEURON's HOC interpreter maintains global state that persists across - examples when they run in the same Python process. This causes examples - to fail on first run but succeed on subsequent runs. - """ - try: - # Import myogen to ensure NEURON is properly initialized - # (myogen auto-loads mechanisms and sets up NEURON on import) - import myogen # noqa: F401 - from neuron import h - - # Delete all sections to start fresh - for sec in list(h.allsec()): - h.delete_section(sec=sec) - - # Load stdrun.hoc and reset time variables - h.load_file("stdrun.hoc") - h.t = 0 - h.tstop = 0 - - except (ImportError, RuntimeError, LookupError, AttributeError): - pass # NEURON not available or not initialized, skip reset - -# Setup paths -base_dir = Path(__file__).parent.parent.parent -sys.path.insert(0, str(base_dir)) - -# Project Information from pyproject.toml -pyproject_data = toml.load(base_dir / "pyproject.toml") -project_info = pyproject_data["project"] - -project = project_info["name"] -author = ", ".join( - [f"{a.get('name', '')} ({a.get('email', '')})" for a in project_info.get("authors", [])] -) -release = version = project_info["version"] -copyright = f"2025 - {datetime.now().year}, n-squared lab, FAU Erlangen-Nürnberg, Germany" - -# Import the main package -import myogen - - -# Copy README.md from root to docs/source with path fixes -def copy_and_prepare_readme(): - """Copy README.md to docs/source and append RST sections.""" - import re - - readme_src = base_dir / "README.md" - index_rst = Path(__file__).parent / "index.rst" - - if readme_src.exists(): - content = readme_src.read_text(encoding="utf-8") - - # Fix image paths for docs context - content = content.replace('src="./docs/source/_static/', 'src="_static/') - content = content.replace('src="docs/source/_static/', 'src="_static/') - - # Fix documentation links - content = content.replace("](docs/", "](") - - # Convert GitHub-style alerts to MyST admonitions - # Pattern: > [!TYPE]\n> content - def convert_gh_alert(match): - alert_type = match.group(1).lower() - alert_content = match.group(2).strip() - # Remove leading > from subsequent lines - alert_content = re.sub(r"^> ", "", alert_content, flags=re.MULTILINE) - return f":::{{{alert_type}}}\n{alert_content}\n:::\n" - - # Match GitHub alert blocks: > [!TYPE] followed by lines starting with > - content = re.sub( - r"> \[!(NOTE|TIP|IMPORTANT|WARNING|CAUTION)\]\n((?:> .+\n?)+)", - convert_gh_alert, - content, - flags=re.IGNORECASE, - ) - - # Append package structure and toctrees as eval-rst block - rst_appendix = """ - -```{eval-rst} ----- - -Package Structure ------------------ - -.. code-block:: text - - MyoGen/ - ├── myogen/ # Main package source code - │ ├── simulator/ # Core simulation functionality - │ │ ├── core/ # Core simulation components - │ │ │ ├── emg/ # EMG signal generation - │ │ │ ├── muscle/ # Muscle modeling - │ │ │ └── spike_train/ # Motor neuron simulation - │ │ └── ... - │ ├── utils/ # Utility functions and tools - │ │ ├── plotting/ # Visualization utilities - │ │ ├── currents.py # Current generation - │ │ └── nmodl.py # NMODL file handling - │ └── ... - ├── examples/ # Example scripts and tutorials - ├── docs/ # Documentation source - ├── pyproject.toml # Project metadata and dependencies - └── uv.lock # Pinned versions of dependencies - - - -.. toctree:: - :maxdepth: 2 - :hidden: - :caption: API Documentation - - api/index - -.. toctree:: - :maxdepth: 2 - :caption: User Guide - :hidden: - - neo_blocks_guide - -.. toctree:: - :maxdepth: 2 - :caption: Examples & Tutorials - :hidden: - - examples -``` -""" - content += rst_appendix - - # Save as index.md (which MyST will parse as the root document) - index_md = Path(__file__).parent / "index.md" - index_md.write_text(content, encoding="utf-8") - print("✓ README.md integrated into index.md") - else: - print(f"⚠️ WARNING: README.md not found at {readme_src}") - - -# Run during module load -copy_and_prepare_readme() - -# Sphinx Configuration -extensions = [ - "sphinx.ext.autodoc", - "sphinx.ext.napoleon", - "sphinx.ext.viewcode", - "sphinx.ext.autosummary", - "sphinx.ext.intersphinx", - "sphinx_gallery.gen_gallery", - "sphinx.ext.doctest", - "myst_parser", - "sphinxcontrib.mermaid", - "sphinx_design", - "hoverxref.extension", - "sphinx_autodoc_typehints", # Automatic type hint formatting and linking -] - -mermaid_version = "11.9.0" - -napoleon_use_admonition_for_examples = False -napoleon_use_admonition_for_references = False -napoleon_numpy_docstring = True -napoleon_use_param = True -napoleon_use_rtype = True -napoleon_preprocess_types = False # Let sphinx-autodoc-typehints handle types -napoleon_include_init_with_doc = False -napoleon_type_aliases = { - # Standard typing aliases for cleaner docstrings - "optional": "Optional[Any]", - "array_like": ":term:`array_like `", - "dict_like": ":term:`dict-like `", - # NumPy and scientific computing types - "ndarray": ":class:`numpy.ndarray`", - "np.ndarray": ":class:`numpy.ndarray`", - "float_array": ":class:`numpy.ndarray`\\[float]", - "bool_array": ":class:`numpy.ndarray`\\[bool]", - "int_array": ":class:`numpy.ndarray`\\[int]", - "list[np.ndarray]": ":class:`list`\\[:class:`numpy.ndarray`]", - "list[ndarray]": ":class:`list`\\[:class:`numpy.ndarray`]", - "dtype[bool]": ":class:`numpy.dtype`\\[bool]", - "tuple[int, ...]": ":class:`tuple`\\[int, ...]", - "ndarray[tuple[int, ...], dtype[bool]]": ":class:`numpy.ndarray`\\[bool]", - "float | list[float]": ":class:`float` | :class:`list`\\[:class:`float`]", - "int | list[int]": ":class:`int` | :class:`list`\\[:class:`int`]", - "str | list[str]": ":class:`str` | :class:`list`\\[:class:`str`]", - "list[int] | None": ":class:`list`\\[:class:`int`] | :class:`None`", - "list[float] | None": ":class:`list`\\[:class:`float`] | :class:`None`", - "list[str] | None": ":class:`list`\\[:class:`str`] | :class:`None`", - "tuple[int, int]": ":class:`tuple`\\[:class:`int`, :class:`int`]", - "tuple[float, float]": ":class:`tuple`\\[:class:`float`, :class:`float`]", - "list[int]": ":class:`list`\\[:class:`int`]", - "list[float]": ":class:`list`\\[:class:`float`]", - "list[str]": ":class:`list`\\[:class:`str`]", - # MyoGen Quantity types - link to type documentation - "Quantity__s": ":data:`~myogen.utils.types.Quantity__s`", - "Quantity__ms": ":data:`~myogen.utils.types.Quantity__ms`", - "Quantity__rad": ":data:`~myogen.utils.types.Quantity__rad`", - "Quantity__deg": ":data:`~myogen.utils.types.Quantity__deg`", - "Quantity__mV": ":data:`~myogen.utils.types.Quantity__mV`", - "Quantity__uV": ":data:`~myogen.utils.types.Quantity__uV`", - "Quantity__nA": ":data:`~myogen.utils.types.Quantity__nA`", - "Quantity__uS": ":data:`~myogen.utils.types.Quantity__uS`", - "Quantity__S_per_m": ":data:`~myogen.utils.types.Quantity__S_per_m`", - "Quantity__Hz": ":data:`~myogen.utils.types.Quantity__Hz`", - "Quantity__pps": ":data:`~myogen.utils.types.Quantity__pps`", - "Quantity__mm": ":data:`~myogen.utils.types.Quantity__mm`", - "Quantity__m": ":data:`~myogen.utils.types.Quantity__m`", - "Quantity__mm2": ":data:`~myogen.utils.types.Quantity__mm2`", - "Quantity__per_mm2": ":data:`~myogen.utils.types.Quantity__per_mm2`", - "Quantity__m_per_s": ":data:`~myogen.utils.types.Quantity__m_per_s`", - "Quantity__mm_per_s": ":data:`~myogen.utils.types.Quantity__mm_per_s`", - # Quantity tuple types - "tuple[Quantity__m_per_s, Quantity__m_per_s]": ":class:`tuple`\\[:data:`~myogen.utils.types.Quantity__m_per_s`, :data:`~myogen.utils.types.Quantity__m_per_s`]", - # AnalogSignal types - "CURRENT__AnalogSignal": ":data:`~myogen.utils.types.CURRENT__AnalogSignal`", - "INPUT_CURRENT__AnalogSignal": ":data:`~myogen.utils.types.CURRENT__AnalogSignal`", # Alias to CURRENT__AnalogSignal - "FORCE__AnalogSignal": ":data:`~myogen.utils.types.FORCE__AnalogSignal`", - # MyoGen custom types - link to documentation - "RECRUITMENT_THRESHOLDS__ARRAY": ":data:`~myogen.utils.types.RECRUITMENT_THRESHOLDS__ARRAY`", - "INPUT_CURRENT__MATRIX": ":data:`~myogen.utils.types.INPUT_CURRENT__MATRIX`", - "SPIKE_TRAIN__MATRIX": ":data:`~myogen.utils.types.SPIKE_TRAIN__MATRIX`", - "MUAP_SHAPE__TENSOR": ":data:`~myogen.utils.types.MUAP_SHAPE__TENSOR`", - "SURFACE_EMG__TENSOR": ":data:`~myogen.utils.types.SURFACE_EMG__TENSOR`", - "INTRAMUSCULAR_EMG__TENSOR": ":data:`~myogen.utils.types.INTRAMUSCULAR_EMG__TENSOR`", - "CORTICAL_INPUT__MATRIX": ":data:`~myogen.utils.types.CORTICAL_INPUT__MATRIX`", - "SURFACE_MUAP_SHAPE__TENSOR": ":data:`~myogen.utils.types.SURFACE_MUAP_SHAPE__TENSOR`", - "INTRAMUSCULAR_MUAP_SHAPE__TENSOR": ":data:`~myogen.utils.types.INTRAMUSCULAR_MUAP_SHAPE__TENSOR`", - "INPUT_CURRENT__MATRIX | None": ":class:`~myogen.utils.types.INPUT_CURRENT__MATRIX` | :class:`None`", - # Beartype and Annotated type patterns - map to clean aliases - "Annotated[ndarray[tuple[int, ...], dtype[bool]], beartype.vale.Is[lambda x: x.ndim == 3]]": ":data:`~myogen.utils.types.SPIKE_TRAIN__MATRIX`", - "Annotated[npt.NDArray[np.bool_], Is[lambda x: x.ndim == 3]]": ":data:`~myogen.utils.types.SPIKE_TRAIN__MATRIX`", - "Annotated[npt.NDArray[np.floating], Is[lambda x: x.ndim == 2]]": ":data:`~myogen.utils.types.INPUT_CURRENT__MATRIX`", - "Annotated[npt.NDArray[np.floating], Is[lambda x: x.ndim == 5]]": ":data:`~myogen.utils.types.SURFACE_EMG__TENSOR`", - # Matplotlib types - "Axes": ":class:`matplotlib.axes.Axes`", - "Figure": ":class:`matplotlib.figure.Figure`", - "Axes3D": ":class:`mpl_toolkits.mplot3d.axes3d.Axes3D`", - "IterableType[Axes]": ":class:`beartype.cave.IterableType`\\[:class:`matplotlib.axes.Axes`]", - # Beartype types - "IterableType": ":class:`beartype.cave.IterableType`", - # NeuroML types - "Segment": ":class:`neuroml.Segment`", - "list[Segment]": ":class:`list`\\[:class:`neuroml.Segment`]", - "list[neo.core.segment.Segment]": ":class:`list`\\[:class:`neo.core.segment.Segment`]", - # Common union types - "str_or_path": "str | :class:`pathlib.Path`", - "float_or_list": "float | list[float]", - "int_or_list": "int | list[int]", - "str_or_list": "str | list[str]", - # Motor unit recruitment model literals - "fuglevand": "``'fuglevand'``", - "deluca": "``'deluca'``", - "konstantin": "``'konstantin'``", - "combined": "``'combined'``", - "RecruitmentMode": "``'fuglevand'`` | ``'deluca'`` | ``'konstantin'`` | ``'combined'``", - "WhatToRecord": ":class:`list`\\[:class:`dict`\\[``'variables'``, ``'to_file'``, ``'sampling_interval'``, ``'locations'``\\], :class:`Any`\\]", - "ElectrodeGridDimensions": ":class:`tuple`\\[:class:`int`, :class:`int`]", - "ElectrodeGridCenterPosition": ":class:`tuple`\\[:class:`float` | :class:`int`, :class:`float` | :class:`int`]", - "list[ElectrodeGridCenterPosition]": ":class:`list`\\[:class:`tuple`\\[:class:`float` | :class:`int`, :class:`float` | :class:`int`\\]]", - # Simulation and modeling types - "Muscle": ":class:`~myogen.simulator.Muscle`", - "MotorNeuronPool": ":class:`~myogen.simulator.MotorNeuronPool`", - "SurfaceEMG": ":class:`~myogen.simulator.SurfaceEMG`", -} - - -# Custom type annotation formatters -def simplify_quantity_annotations(annotation): - """Simplify Annotated[Quantity, ...] types to clean Quantity__* aliases.""" - import re - - annotation_str = str(annotation) - - # Map of unit patterns to type alias names - quantity_patterns = { - r"IsEqual\['s'\]": "Quantity__s", - r"IsEqual\['ms'\]": "Quantity__ms", - r"IsEqual\['rad'\]": "Quantity__rad", - r"IsEqual\['deg'\]": "Quantity__deg", - r"IsEqual\['mV'\]": "Quantity__mV", - r"IsEqual\['uV'\]": "Quantity__uV", - r"IsEqual\['nA'\]": "Quantity__nA", - r"IsEqual\['uS'\]": "Quantity__uS", - r"IsEqual\['S/m'\]": "Quantity__S_per_m", - r"IsEqual\['Hz'\]": "Quantity__Hz", - r"IsEqual\['pps'\]": "Quantity__pps", - r"IsEqual\['mm'\]": "Quantity__mm", - r"IsEqual\['m'\]": "Quantity__m", - r"IsEqual\['mm\*\*2'\]": "Quantity__mm2", - r"IsEqual\['1/mm\*\*2'\]": "Quantity__per_mm2", - r"IsEqual\['m/s'\]": "Quantity__m_per_s", - r"IsEqual\['mm/s'\]": "Quantity__mm_per_s", - } - - # Try to match typing.Annotated[quantities.quantity.Quantity, beartype.vale.IsAttr[...]] - # Pattern matches with or without module prefixes - for unit_pattern, type_alias in quantity_patterns.items(): - pattern = rf"Annotated\[.*?Quantity,\s*.*?IsAttr\['dimensionality',\s*.*?IsAttr\['unicode',\s*.*?{unit_pattern}\]\]\]" - if re.search(pattern, annotation_str): - return type_alias - - return None - - -def format_annotation(annotation, config=None): - """Custom formatter to simplify Quantity annotations. - - Parameters - ---------- - annotation : Any - The type annotation to format - config : sphinx.config.Config, optional - Sphinx configuration object (may not be provided in all contexts) - - Returns - ------- - str or None - Formatted reStructuredText for the annotation, or None to use default formatting - """ - import typing - - # Try to simplify Quantity annotations - simplified = simplify_quantity_annotations(annotation) - if simplified: - # Try importing the type alias and returning it directly - try: - from myogen.utils import types - - return getattr(types, simplified) - except Exception: - # If that fails, return RST reference - return f":data:`~myogen.utils.types.{simplified}`" - - # Return None to let sphinx-autodoc-typehints handle it normally - return None - - -# MyST-Parser configuration -myst_enable_extensions = [ - "attrs_inline", - "attrs_block", - "colon_fence", - "deflist", - "dollarmath", - "fieldlist", - "html_admonition", - "html_image", - "linkify", - "replacements", - "smartquotes", - "substitution", - "tasklist", -] - -myst_heading_anchors = 3 -myst_admonition_enable = True -myst_url_schemes = ["http", "https", "mailto", "ftp"] -myst_ref_domains = ["std"] - -# Autodoc configuration -autodoc_default_options = { - "members": True, - "inherited-members": False, - "show-inheritance": True, - "undoc-members": True, - "exclude-members": "__weakref__", -} -autodoc_inherit_docstrings = True -autoclass_content = "both" -autodoc_typehints = "description" -autodoc_member_order = "groupwise" -autodoc_preserve_defaults = True -autodoc_typehints_format = "short" -autodoc_type_aliases = napoleon_type_aliases - -# sphinx-autodoc-typehints configuration -typehints_use_rtype = True # Show return types in :rtype: field -typehints_document_rtype = True # Document return types -typehints_defaults = "comma" # Show default values with commas -typehints_use_signature = True # Put types in signature for better rendering -typehints_use_signature_return = True # Put return type in signature -typehints_fully_qualified = False # Use short names (not myogen.utils.types.Foo) -always_use_bars_union = True # Use | instead of Union in docs (Python 3.10+ style) - -# Better signature formatting -maximum_signature_line_length = 80 -python_use_unqualified_type_names = True - -# Advanced autodoc signature formatting -add_function_parentheses = True -add_module_names = False -show_authors = True - -# Improved signature display -autodoc_signature_formatting = "multiline" -python_maximum_signature_line_length = 88 - -# Autosummary configuration -autosummary_generate = True -autosummary_generate_overwrite = True -autosummary_imported_members = False -autosummary_ignore_module_all = False - -# General configuration -templates_path = ["templates"] -exclude_patterns = ["Thumbs.db", ".DS_Store"] - -# Syntax highlighting with Pygments -pygments_style = "monokai" # Default/fallback style -pygments_dark_style = "monokai" # Dark mode - -# HTML theme configuration -html_theme = "pydata_sphinx_theme" -html_theme_options = { - "github_url": f"https://github.com/NSquaredLab/{project}", - "navbar_start": ["navbar-logo", "navbar-version.html", "header-text.html"], - "show_prev_next": False, - "navbar_align": "left", - "navbar_persistent": ["search-button"], - "footer_start": ["copyright"], - "footer_end": ["sphinx-version"], - # Enhanced navigation - "use_edit_page_button": False, - "navigation_with_keys": True, - "show_toc_level": 2, - "navigation_depth": 4, - # Search improvements - "search_bar_text": "Search MyoGen docs...", - # API documentation improvements - "show_nav_level": 2, - "collapse_navigation": False, - # Pygments (syntax highlighting) configuration - "pygments_light_style": "friendly", # Clean light theme that pairs well with Monokai - "pygments_dark_style": "monokai", - # Header and footer customization - "header_links_before_dropdown": 4, - # Announcement bar - "announcement": "MyoGen is under active development. API may change.", -} - -html_static_path = ["_static"] -html_logo = "_static/myogen_logo.png" -html_css_files = ["custom.css"] -html_title = f"{project} {version} Documentation" -html_show_sourcelink = False - -# HTML context -html_context = { - "AUTHOR": author, - "VERSION": version, - "DESCRIPTION": project_info.get("description", ""), - "github_user": "NSquaredLab", # Update with your GitHub username - "github_repo": project, - "github_version": "main", - "doc_path": "docs", -} - -# Intersphinx mapping -intersphinx_mapping = { - "python": ("https://docs.python.org/3", None), - "numpy": ("https://numpy.org/doc/stable/", None), - "scipy": ("https://docs.scipy.org/doc/scipy/reference/", None), - "matplotlib": ("https://matplotlib.org/stable/", None), - "pandas": ("https://pandas.pydata.org/docs/", None), - "sklearn": ("https://scikit-learn.org/stable/", None), - "neo": ("https://neo.readthedocs.io/en/latest/", None), - "beartype": ("https://beartype.readthedocs.io/en/latest/", None), - "quantities": ("https://python-quantities.readthedocs.io/en/latest/", None), -} - -# Sphinx-hoverxref configuration for hover previews -hoverxref_auto_ref = True # Automatically add tooltips to all references -hoverxref_domains = ["py"] # Enable for Python domain -hoverxref_roles = [ - "class", - "func", - "meth", - "attr", - "data", - "mod", - "obj", -] # Roles to enable hover preview for -hoverxref_role_types = { - "class": "tooltip", # Use tooltip style for classes - "func": "tooltip", # Use tooltip style for functions - "meth": "tooltip", # Use tooltip style for methods - "attr": "tooltip", # Use tooltip style for attributes - "data": "tooltip", # Use tooltip style for data - "mod": "modal", # Use modal style for modules (larger preview) - "ref": "tooltip", # Use tooltip for references - "obj": "tooltip", # Use tooltip style for generic objects -} -hoverxref_tooltip_maxwidth = 600 # Maximum width of tooltip in pixels -hoverxref_tooltip_animation_duration = 200 # Animation duration in milliseconds -hoverxref_intersphinx = [ - "python", - "numpy", - "scipy", - "matplotlib", -] # Enable hover previews for intersphinx references - -# Embed tooltip content for local viewing (fixes "Loading..." issue with file:// URLs) -hoverxref_tooltip_lazy = False # Disable lazy loading to embed content directly in HTML - -# Sphinx Gallery configuration -sphinx_gallery_conf = { - "examples_dirs": [ - str(base_dir / "examples" / "01_basic"), - str(base_dir / "examples" / "02_finetune"), - str(base_dir / "examples" / "03_papers" / "watanabe"), - ], - "gallery_dirs": [ - "auto_examples/01_basic", - "auto_examples/02_finetune", - "auto_examples/03_papers/watanabe", - ], - "subsection_order": ExplicitOrder( - [ - str(base_dir / "examples" / "01_basic"), - str(base_dir / "examples" / "02_finetune"), - str(base_dir / "examples" / "03_papers" / "watanabe"), - ] - ), - "filename_pattern": r"\.py", - # 14_calibrate_noise_from_real.py needs a private iEMG .mat recording that - # isn't available in CI, so it can't be executed by the gallery. - "ignore_pattern": r"(14_calibrate_noise_from_real|_oscillating_dc_helpers|_optimize_dc_worker)\.py", - "remove_config_comments": True, - "within_subsection_order": FileNameSortKey, - "show_memory": False, - "plot_gallery": True, - "download_all_examples": False, - "first_notebook_cell": "%matplotlib inline", - "reset_modules": (reset_neuron,), # Reset NEURON state between examples -} - -# Warning suppressions -suppress_warnings = [ - "config.cache", - "ref.citation", -] - - -def prettify_type_alias(_app, what, _name, _obj, _options, lines): - """Pretty-print type alias beartype annotations.""" - import re - - # Only process data (type aliases) - if what != "data": - return - - # Check for beartype Annotated types and format them better - for i, line in enumerate(lines): - if "alias of" in line and "Annotated[" in line: - # Extract the annotation content - match = re.search(r"alias of (.+)", line) - if match: - annotation = match.group(1) - # Format as a code block for better readability - lines[i] = "**Type Alias:**\n\n.. code-block:: python\n\n " + annotation.replace( - ", ", ",\n " - ) - lines.insert(i + 1, "") - - -def post_process_html(_app, exception): - """Post-process HTML files to replace Annotated[Quantity, ...] with Quantity__* links.""" - if exception: - return - - import re - from pathlib import Path - - build_dir = Path(_app.outdir) - - # HTML replacements for Quantity types - # Match specific Annotated[Quantity, IsAttr[...IsEqual['X']...]] patterns - # Base pattern for all Quantity types - base_pattern = r']*>Annotated\[Quantity, ]*>IsAttr\[\'dimensionality\', ]*>IsAttr\[\'unicode\', ]*>IsEqual\[\'UNIT\'\]\]\]\]' - - # Map of unit strings to type alias names - quantity_units = { - "s": "Quantity__s", - "ms": "Quantity__ms", - "rad": "Quantity__rad", - "deg": "Quantity__deg", - "mV": "Quantity__mV", - "uV": "Quantity__uV", - "nA": "Quantity__nA", - "uS": "Quantity__uS", - "S/m": "Quantity__S_per_m", - "Hz": "Quantity__Hz", - "pps": "Quantity__pps", - "mm": "Quantity__mm", - "m": "Quantity__m", - "mm\\*\\*2": "Quantity__mm2", - "1/mm\\*\\*2": "Quantity__per_mm2", - "m/s": "Quantity__m_per_s", - "mm/s": "Quantity__mm_per_s", - } - - # Build replacement patterns for all units - replacements = [] - for unit, alias_name in quantity_units.items(): - pattern = base_pattern.replace("UNIT", unit) - # Use full module path in filename: myogen.utils.types.Quantity__X.html - replacement = f'{alias_name}' - replacements.append((pattern, replacement)) - - # Add replacements for Block types (simpler pattern - just plain text in

tags) - block_types = [ - "SPIKE_TRAIN__Block", - "SURFACE_EMG__Block", - "SURFACE_MUAP__Block", - "INTRAMUSCULAR_EMG__Block", - "INTRAMUSCULAR_MUAP__Block", - ] - - for block_type in block_types: - # Pattern:

BLOCK_TYPE

or BLOCK_TYPE in parameter lists - pattern = f"

{block_type}

" - replacement = f'

{block_type}

' - replacements.append((pattern, replacement)) - - # Also handle Block types in parameter descriptions - pattern_em = f"{block_type}" - replacement_em = f'{block_type}' - replacements.append((pattern_em, replacement_em)) - - # Fix truncated Block type signatures (sphinx-autodoc-typehints rendering issue) - # Pattern: parameter name followed by truncated type hint ]] - truncated_sig_patterns = [ - # spike_train__Block parameter with truncated ]] type - ( - r'(spike_train__Block: )]]', - r'\1SPIKE_TRAIN__Block', - ), - ] - - replacements.extend(truncated_sig_patterns) - - # Process all HTML files with context-aware replacements - total_replacements = 0 - for html_file in build_dir.rglob("*.html"): - try: - content = html_file.read_text(encoding="utf-8") - original_content = content - - # Apply all replacement patterns - for pattern, replacement in replacements: - content = re.sub(pattern, replacement, content) - - # Context-aware return type replacements for truncated Block types - # SurfaceEMG methods return SURFACE_EMG__Block or SURFACE_MUAP__Block - if "SurfaceEMG" in html_file.name: - if "simulate_surface_emg" in content or "add_noise" in content: - # These return SURFACE_EMG__Block - content = re.sub( - r'(→ )segments\)\)]]', - r'\1SURFACE_EMG__Block', - content, - ) - elif "simulate_muaps" in content: - # This returns SURFACE_MUAP__Block - content = re.sub( - r'(→ )segments\)\)]]', - r'\1SURFACE_MUAP__Block', - content, - ) - - # IntramuscularEMG methods return INTRAMUSCULAR_EMG__Block or INTRAMUSCULAR_MUAP__Block - if "IntramuscularEMG" in html_file.name: - if "simulate_intramuscular_emg" in content or "add_noise" in content: - # These return INTRAMUSCULAR_EMG__Block - content = re.sub( - r'(→ )segments\)\)]]', - r'\1INTRAMUSCULAR_EMG__Block', - content, - ) - elif "simulate_muaps" in content: - # This returns INTRAMUSCULAR_MUAP__Block - content = re.sub( - r'(→ )segments\)\)]]', - r'\1INTRAMUSCULAR_MUAP__Block', - content, - ) - - # ForceModel.generate_force returns with truncated "N]]" (likely FORCE__AnalogSignal but truncated) - if "ForceModel" in html_file.name and "generate_force" in content: - content = re.sub( - r'(→ )N]]', - r'\1FORCE__AnalogSignal', - content, - ) - - # inject_currents_and_simulate_spike_trains returns SPIKE_TRAIN__Block - if "inject_currents_and_simulate_spike_trains" in html_file.name: - content = re.sub( - r'(→ )segments\)\)]]', - r'\1SPIKE_TRAIN__Block', - content, - ) - - # Check if anything was modified - if content != original_content: - html_file.write_text(content, encoding="utf-8") - total_replacements += 1 - print(f"Processed {html_file.name}") - except Exception as e: - print(f"Warning: Could not process {html_file}: {e}") - - if total_replacements > 0: - print(f"Total: Modified {total_replacements} HTML files") - - -def setup(app): - """Setup function for custom configurations.""" - app.add_css_file("custom.css") - app.add_js_file("custom.js") - - # Add custom autodoc processors - app.connect("autodoc-process-docstring", prettify_type_alias) - app.connect("build-finished", post_process_html) diff --git a/docs/source/examples.rst b/docs/source/examples.rst deleted file mode 100644 index a55b2a0d..00000000 --- a/docs/source/examples.rst +++ /dev/null @@ -1,59 +0,0 @@ -.. _examples-index: - -================== -Examples -================== - -| MyoGen has a variety of examples demonstrating key functionalities, workflows, and research applications. -| Each section contains detailed python examples that guide you through the implementation and usage of MyoGen components. -| -.. grid:: 2 - :gutter: 3 - - .. grid-item-card:: - :link: basic-examples - :link-type: ref - :text-align: center - - Basics - ^^^ - - Self-contained examples covering core MyoGen components and workflows. - - +++ - For first-time users - - .. grid-item-card:: - :link: finetune-examples - :link-type: ref - :text-align: center - - Finetuning - ^^^ - - Workflow for matching MU and cortical population activity to match MVC % targets. - - +++ - Requires Optuna - -Literature Reproductions -^^^^^^^^^^^^^^^^^^^^^^^^^^ - -.. grid:: 1 - :gutter: 3 - - .. grid-item-card:: - :link: watanabe-reproduction - :link-type: ref - :text-align: center - - Watanabe and Kohn (2015, J. Neurosci.) - - -.. toctree:: - :hidden: - :maxdepth: 2 - - auto_examples/01_basic/index - auto_examples/02_finetune/index - auto_examples/03_papers/watanabe/index diff --git a/docs/source/index.md b/docs/source/index.md deleted file mode 100644 index f4e4b284..00000000 --- a/docs/source/index.md +++ /dev/null @@ -1,293 +0,0 @@ -
-

- Welcome to - MyoGen Logo -

- -

The modular and extensible simulation toolkit for neurophysiology

- - [![Documentation](https://img.shields.io/badge/docs-latest-blue.svg)](https://nsquaredlab.github.io/MyoGen/) - [![Python 3.12+](https://img.shields.io/badge/python-3.12+-blue.svg)](https://www.python.org/downloads/) - [![Version](https://img.shields.io/badge/version-0.10.1-orange.svg)](https://github.com/NsquaredLab/MyoGen) - - [Installation](https://nsquaredlab.github.io/MyoGen/#installation) • - [Documentation](https://nsquaredlab.github.io/MyoGen/) • - [Examples](https://nsquaredlab.github.io/MyoGen/examples.html) • - [How to Cite](https://nsquaredlab.github.io/MyoGen/#how-to-cite) -
- -# Overview - -MyoGen is a **modular and extensible neuromuscular simulation framework** for generating physiologically grounded motor-unit activity, muscle force, and surface EMG signals. - -It supports end-to-end modeling of the neuromuscular pathway, from descending neural drive and spinal motor neuron dynamics to muscle activation and bioelectric signal formation at the electrode level. -MyoGen is designed for algorithm validation, hypothesis-driven research, and education, providing configurable building blocks that can be independently combined and extended. - -# Highlights - -🧬 **Biophysically inspired neuron models** — NEURON-based motor neurons with validated calcium dynamics and membrane properties - -🎯 **Everything is inspectable** — Complete access to every motor unit, spike time, fiber location etc. for rigorous algorithm testing - -⚡️ **Vectorized & parallel** — Multi-core CPU processing with NumPy/Numba vectorization for fast computation - -🔬 **End-to-end simulation** — From motor unit recruitment to high-density surface EMG in a single framework - -📊 **Reproducible science** — Deterministic random seeds and standardized Neo Block outputs for exact replication - -📦 **NWB export** — Optional export to [Neurodata Without Borders](https://www.nwb.org/) format for data sharing via DANDI - -🧰 **Comprehensive toolkit** — Surface EMG, intramuscular EMG, force generation, and spinal network modeling - -# Installation - -> **Requires Python 3.12+** — Check your version with `python --version` - -## System Requirements - -| Platform | Before Installing MyoGen | -|----------|--------------------------| -| **Windows** | [NEURON 8.2.7](https://github.com/neuronsimulator/nrn/releases/download/8.2.7/nrn-8.2.7.w64-mingw-py-39-310-311-312-313-setup.exe) - Download, run installer, select "Add to PATH" | -| **Linux** | `sudo apt install libopenmpi-dev` (Ubuntu/Debian) or `sudo dnf install openmpi-devel` (Fedora) | -| **macOS** | `brew install open-mpi` | - -> [!CAUTION] -> -> ## Windows Users: Prerequisites -> -> **You MUST install the following before installing MyoGen on Windows:** -> -> ### 1. Visual C++ Build Tools -> -> Download and install [Visual C++ Build Tools](https://visualstudio.microsoft.com/visual-cpp-build-tools/). -> ->During installation, select these components: -> -> - MSVC Build Tools for x64/x86 (Latest) -> - MSVC v143 – VS 2022 C++ x64/x86 build tools -> - Windows 11 SDK (latest) -> - C++ core desktop features -> -> ### 2. NEURON Simulator -> -> 1. **Download**: [NEURON 8.2.7 Installer](https://github.com/neuronsimulator/nrn/releases/download/8.2.7/nrn-8.2.7.w64-mingw-py-39-310-311-312-313-setup.exe) -> 2. **Run the installer** and select **"Add to PATH"** when prompted -> 3. **Restart your terminal** (close and reopen) -> 4. Then continue with the installation below - ---- - -## Step 1: Install uv (Package Manager) - -We use [uv](https://docs.astral.sh/uv/) - a fast Python package manager. Install it first: - -**Windows** (open PowerShell): - -```powershell -powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex" -``` - -**Linux/macOS**: - -```bash -curl -LsSf https://astral.sh/uv/install.sh | sh -``` - -After installing, **restart your terminal** (close and reopen it). - ---- - -## Step 2: Create a New Project - -Open a terminal and navigate to where you want your project: - -```bash -# Create a new folder for your project -mkdir my_emg_project -cd my_emg_project - -# Initialize a Python project -uv init - -# Add MyoGen to your project -uv add myogen -``` - -That's it! MyoGen is now installed and ready to use. - ---- - -## Step 3: Verify Installation - -Create a test file to make sure everything works: - -```bash -# Create a test script -uv run python -c "from myogen import simulator; print('MyoGen installed successfully!')" -``` - -If you see `MyoGen installed successfully!` - you're all set! - ---- - -## Alternative: pip install - -If you prefer pip over uv: - -```bash -pip install myogen -``` - ---- - -## For Developers (From Source) - -```bash -git clone https://github.com/NsquaredLab/MyoGen.git -cd MyoGen -uv sync -uv run poe setup_myogen -``` - -## Optional: GPU Acceleration - -For 5-10× faster convolutions (requires NVIDIA GPU): - -```bash -uv add cupy-cuda12x -``` - -# Quick Start - -Generate motor unit action potentials (MUAPs): - -```python -from myogen import simulator -import quantities as pq - -# 1. Generate recruitment thresholds (100 motor units) -thresholds, _ = simulator.RecruitmentThresholds( - N=100, - recruitment_range__ratio=50, - mode="fuglevand" -) - -# 2. Create muscle model with fiber distribution -muscle = simulator.Muscle( - recruitment_thresholds=thresholds, - radius_bone__mm=1.0 * pq.mm, - fiber_density__fibers_per_mm2=400 * pq.mm**-2, - fat_thickness__mm=10 * pq.mm, - autorun=True -) - -# 3. Set up surface electrode array -electrode_array = simulator.SurfaceElectrodeArray( - num_rows=5, - num_cols=5, - inter_electrode_distance__mm=5 * pq.mm, - electrode_radius__mm=5 * pq.mm, - bending_radius__mm=muscle.radius__mm + muscle.skin_thickness__mm + muscle.fat_thickness__mm, -) - -# 4. Create surface EMG simulator -surface_emg = simulator.SurfaceEMG( - muscle_model=muscle, - electrode_arrays=[electrode_array], - sampling_frequency__Hz=2048.0, - MUs_to_simulate=[0, 1, 2, 3, 4] # First 5 motor units -) - -# 5. Simulate MUAPs (parallel processing) -muaps = surface_emg.simulate_muaps(n_jobs=-2) -``` - -**Access MUAP data**: - -```python -import numpy as np - -# Get MUAP from motor unit 0 -muap_signal = muaps.groups[0].segments[0].analogsignals[0] -print(f"MUAP shape: {muap_signal.shape}") # (time, rows, cols) - -# Extract from specific electrode (row 2, col 2) -electrode_muap = muap_signal[:, 2, 2] -peak_amplitude = np.max(np.abs(electrode_muap.magnitude)) -print(f"Peak amplitude: {peak_amplitude:.3f} {electrode_muap.units}") -``` - -**For full EMG simulation** with spike trains, see [examples](https://nsquaredlab.github.io/MyoGen/examples.html) - -# Documentation - -📖 **[Read the full documentation](https://nsquaredlab.github.io/MyoGen/)** - -- [User Guide](https://nsquaredlab.github.io/MyoGen/neo_blocks_guide.html) — Working with simulation outputs -- [API Reference](https://nsquaredlab.github.io/MyoGen/api/) — Complete class documentation -- [Examples](examples/) — Step-by-step tutorials from recruitment to EMG - -# How to Cite - -If you use MyoGen in your research, please cite: - -TBD - -# Contributing - -Contributions welcome! See [issues](https://github.com/NsquaredLab/MyoGen/issues) if you want to add a feature or fix a bug. - -# License - -MyoGen is AGPL licensed. See [LICENSE](https://github.com/NsquaredLab/MyoGen/LICENSE.md) for details. - - -```{eval-rst} ----- - -Package Structure ------------------ - -.. code-block:: text - - MyoGen/ - ├── myogen/ # Main package source code - │ ├── simulator/ # Core simulation functionality - │ │ ├── core/ # Core simulation components - │ │ │ ├── emg/ # EMG signal generation - │ │ │ ├── muscle/ # Muscle modeling - │ │ │ └── spike_train/ # Motor neuron simulation - │ │ └── ... - │ ├── utils/ # Utility functions and tools - │ │ ├── plotting/ # Visualization utilities - │ │ ├── currents.py # Current generation - │ │ └── nmodl.py # NMODL file handling - │ └── ... - ├── examples/ # Example scripts and tutorials - ├── docs/ # Documentation source - ├── pyproject.toml # Project metadata and dependencies - └── uv.lock # Pinned versions of dependencies - - - -.. toctree:: - :maxdepth: 2 - :hidden: - :caption: API Documentation - - api/index - -.. toctree:: - :maxdepth: 2 - :caption: User Guide - :hidden: - - neo_blocks_guide - -.. toctree:: - :maxdepth: 2 - :caption: Examples & Tutorials - :hidden: - - examples -``` diff --git a/docs/source/index.rst.backup b/docs/source/index.rst.backup deleted file mode 100644 index fa1185e7..00000000 --- a/docs/source/index.rst.backup +++ /dev/null @@ -1,53 +0,0 @@ -.. MyoGen documentation master file - -.. toctree:: - :maxdepth: 2 - :hidden: - - readme_content - -Package Structure ------------------ - -.. code-block:: text - - MyoGen/ - ├── myogen/ # Main package source code - │ ├── simulator/ # Core simulation functionality - │ │ ├── core/ # Core simulation components - │ │ │ ├── emg/ # EMG signal generation - │ │ │ ├── muscle/ # Muscle modeling - │ │ │ └── spike_train/ # Motor neuron simulation - │ │ └── ... - │ ├── utils/ # Utility functions and tools - │ │ ├── plotting/ # Visualization utilities - │ │ ├── currents.py # Current generation - │ │ └── nmodl.py # NMODL file handling - │ └── ... - ├── examples/ # Example scripts and tutorials - ├── docs/ # Documentation source - ├── pyproject.toml # Project metadata and dependencies - └── uv.lock # Pinned versions of dependencies - - - -.. toctree:: - :maxdepth: 2 - :hidden: - :caption: API Documentation - - api/index - -.. toctree:: - :maxdepth: 2 - :caption: User Guide - :hidden: - - neo_blocks_guide - -.. toctree:: - :maxdepth: 2 - :caption: Examples & Tutorials - :hidden: - - examples diff --git a/docs/source/neo_blocks_guide.rst b/docs/source/neo_blocks_guide.rst deleted file mode 100644 index 4b56220a..00000000 --- a/docs/source/neo_blocks_guide.rst +++ /dev/null @@ -1,386 +0,0 @@ -Working with Neo Block Data Structures -======================================= - -MyoGen uses **Neo Block** objects as the primary data containers for storing simulation results. This guide explains how to extract and work with data from the different Block types. - -.. contents:: Table of Contents - :local: - :depth: 2 - -Overview --------- - -MyoGen uses five different Neo Block types to store simulation data: - -.. list-table:: - :header-rows: 1 - :widths: 30 40 30 - - * - Block Type - - Purpose - - Dimensions - * - ``SPIKE_TRAIN__Block`` - - Neural firing times - - 1D spike times - * - ``SURFACE_MUAP__Block`` - - Surface MUAP templates - - 3D electrode grid - * - ``SURFACE_EMG__Block`` - - Surface EMG signals - - 3D electrode grid - * - ``INTRAMUSCULAR_MUAP__Block`` - - Intramuscular MUAP templates - - 2D electrode array - * - ``INTRAMUSCULAR_EMG__Block`` - - Intramuscular EMG signals - - 2D electrode array - -Neo Blocks provide standardized containers with: - -- Automatic unit tracking (mV, µV, seconds, etc.) -- Metadata storage (sampling rate, duration, etc.) -- Compatibility with analysis tools like Elephant -- Integration with neuroscience workflows - -Quick Start ------------ - -Basic Access Patterns -~~~~~~~~~~~~~~~~~~~~~~ - -.. code-block:: python - - import joblib - - # Load spike trains - spike_trains = joblib.load("spike_trains.pkl") - spiketrain = spike_trains.segments[0].spiketrains[0] - spike_times = spiketrain.magnitude # NumPy array - - # Load surface EMG - surface_emg = joblib.load("surface_emg.pkl") - emg_signal = surface_emg.groups[0].segments[0].analogsignals[0] - electrode_data = emg_signal[:, row, col] # Time series at electrode - - # Load intramuscular EMG - im_emg = joblib.load("intramuscular_emg.pkl") - emg_signal = im_emg.segments[0].analogsignals[0] - electrode_data = emg_signal[:, electrode_idx] # Time series - -Block Structure Details ------------------------- - -SPIKE_TRAIN__Block -~~~~~~~~~~~~~~~~~~~ - -**Structure**: Block → Segments (motor pools) → SpikeTrain objects - -The ``SPIKE_TRAIN__Block`` stores neural firing patterns from motor neuron pools. Each segment represents a motor pool, and each spiketrain contains the firing times of an individual neuron. - -.. code-block:: python - - # Access spike trains - motor_pool = spike_train__Block.segments[pool_idx] - spiketrain = motor_pool.spiketrains[neuron_idx] - - # Extract data - spike_times__s = spiketrain.magnitude # NumPy array - n_spikes = len(spiketrain) - duration = spiketrain.t_stop - sampling_rate = spiketrain.sampling_rate - -**Example: Calculate firing rate** - -.. code-block:: python - - motor_pool = spike_train__Block.segments[0] - firing_rates = [] - - for spiketrain in motor_pool.spiketrains: - if len(spiketrain) > 0: - rate = (len(spiketrain) / (spiketrain.t_stop - spiketrain.t_start)).rescale("Hz") - firing_rates.append(rate.magnitude) - - print(f"Mean firing rate: {np.mean(firing_rates):.2f} Hz") - -SURFACE_MUAP__Block -~~~~~~~~~~~~~~~~~~~~ - -**Structure**: Block → Groups (electrode arrays) → Segments (MUAP indices) → AnalogSignals (3D) - -Stores Motor Unit Action Potential (MUAP) templates for surface electrode arrays. Each group represents an electrode array, each segment represents a MUAP, and signals are 3D arrays (time × rows × columns). - -.. code-block:: python - - # Access MUAPs - electrode_array = muaps__Block.groups[array_idx] - muap_segment = electrode_array.segments[muap_idx] - muap_signal = muap_segment.analogsignals[0] - - # Extract data - muap_array = muap_signal.magnitude # Shape: (time, rows, cols) - time__s = muap_signal.times.magnitude - electrode_muap = muap_signal[:, row, col] # Specific electrode - -**Example: Analyze MUAP amplitude** - -.. code-block:: python - - # Get MUAP from motor unit 5, electrode at row 2, column 3 - muap_signal = muaps__Block.groups[0].segments[5].analogsignals[0] - - row, col = 2, 3 - electrode_muap = muap_signal[:, row, col] - - print(f"Peak-to-peak: {np.ptp(electrode_muap.magnitude):.2f} {electrode_muap.units}") - print(f"Max amplitude: {np.max(np.abs(electrode_muap.magnitude)):.2f} {electrode_muap.units}") - -SURFACE_EMG__Block -~~~~~~~~~~~~~~~~~~~ - -**Structure**: Block → Groups (electrode arrays) → Segments (motor pools) → AnalogSignals (3D) - -Stores synthesized surface EMG signals. Similar structure to SURFACE_MUAP__Block, but contains the full EMG signal (longer duration) rather than templates. - -.. code-block:: python - - # Access surface EMG - electrode_array = surface_emg__Block.groups[array_idx] - motor_pool = electrode_array.segments[pool_idx] - emg_signal = motor_pool.analogsignals[0] - - # Extract data - emg_array = emg_signal.magnitude # Shape: (time, rows, cols) - electrode_emg = emg_signal[:, row, col] # Specific electrode - -**Example: Calculate RMS amplitude** - -.. code-block:: python - - emg_signal = surface_emg__Block.groups[0].segments[0].analogsignals[0] - electrode_emg = emg_signal[:, 2, 2].magnitude - - rms = np.sqrt(np.mean(electrode_emg ** 2)) - print(f"RMS amplitude: {rms:.2f} {emg_signal.units}") - -INTRAMUSCULAR_MUAP__Block -~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -**Structure**: Block → Segments (MUAP indices) → AnalogSignals (2D) - -Stores MUAP templates for intramuscular electrodes. Each segment represents a MUAP, and signals are 2D arrays (time × electrodes). - -.. code-block:: python - - # Access intramuscular MUAPs - muap_segment = im_muaps__Block.segments[muap_idx] - muap_signal = muap_segment.analogsignals[0] - - # Extract data - muap_array = muap_signal.magnitude # Shape: (time, electrodes) - electrode_muap = muap_signal[:, electrode_idx] - -INTRAMUSCULAR_EMG__Block -~~~~~~~~~~~~~~~~~~~~~~~~~ - -**Structure**: Block → Segments (motor pools) → AnalogSignals (2D) - -Stores synthesized intramuscular EMG signals. Each segment represents a motor pool, and signals are 2D arrays (time × electrodes). - -.. code-block:: python - - # Access intramuscular EMG - motor_pool = im_emg__Block.segments[pool_idx] - emg_signal = motor_pool.analogsignals[0] - - # Extract data - emg_array = emg_signal.magnitude # Shape: (time, electrodes) - electrode_emg = emg_signal[:, electrode_idx] - -Common Operations ------------------ - -Accessing Metadata -~~~~~~~~~~~~~~~~~~~ - -All Neo signals have metadata properties: - -.. code-block:: python - - signal.magnitude # NumPy array of values - signal.times.magnitude # Time axis (in seconds) - signal.sampling_rate # Sampling frequency - signal.sampling_period # Time between samples - signal.t_start # Start time - signal.t_stop # Stop time - signal.duration # Total duration - signal.units # Physical units (mV, uV, etc.) - signal.shape # Array dimensions - -Extracting Time Windows -~~~~~~~~~~~~~~~~~~~~~~~~ - -.. code-block:: python - - # For spike trains - windowed_train = spiketrain.time_slice(t_start, t_stop) - - # For analog signals - start_idx = int(t_start * emg_signal.sampling_rate.magnitude) - end_idx = int(t_stop * emg_signal.sampling_rate.magnitude) - windowed_signal = emg_signal[start_idx:end_idx] - -Converting Units -~~~~~~~~~~~~~~~~ - -.. code-block:: python - - import quantities as pq - - # Check current units - print(signal.units) # e.g., mV - - # Convert to different units - signal_uV = signal.rescale(pq.uV) - -Saving and Loading -~~~~~~~~~~~~~~~~~~ - -.. code-block:: python - - import joblib - - # Save blocks - joblib.dump(spike_train__Block, "spike_trains.pkl") - joblib.dump(surface_emg__Block, "surface_emg.pkl") - - # Load blocks - spike_trains = joblib.load("spike_trains.pkl") - surface_emg = joblib.load("surface_emg.pkl") - -Shape Reference ---------------- - -.. list-table:: - :header-rows: 1 - :widths: 40 20 40 - - * - Block Type - - Dimensionality - - Shape Format - * - SPIKE_TRAIN - - 1D - - ``(n_spikes,)`` - * - SURFACE_MUAP - - 3D - - ``(time, rows, cols)`` - * - SURFACE_EMG - - 3D - - ``(time, rows, cols)`` - * - INTRAMUSCULAR_MUAP - - 2D - - ``(time, electrodes)`` - * - INTRAMUSCULAR_EMG - - 2D - - ``(time, electrodes)`` - -Data Flow Pipeline ------------------- - -The simulation pipeline follows this flow: - -1. **Generate Spike Trains** → ``SPIKE_TRAIN__Block`` - - - When neurons fire - -2. **Generate MUAPs** → ``SURFACE_MUAP__Block`` or ``INTRAMUSCULAR_MUAP__Block`` - - - What individual motor units look like - -3. **Convolve MUAPs with Spike Trains** → ``SURFACE_EMG__Block`` or ``INTRAMUSCULAR_EMG__Block`` - - - Final synthesized EMG signals - -Complete Example ----------------- - -.. code-block:: python - - import joblib - import numpy as np - import matplotlib.pyplot as plt - from myogen.utils.types import SPIKE_TRAIN__Block, SURFACE_EMG__Block - - # 1. Load data - spike_trains = joblib.load("spike_trains.pkl") - surface_emg = joblib.load("surface_emg.pkl") - - # 2. Extract spike times - motor_pool = spike_trains.segments[0] - neuron_5 = motor_pool.spiketrains[5] - spike_times = neuron_5.magnitude - - # 3. Extract EMG from center electrode - emg_signal = surface_emg.groups[0].segments[0].analogsignals[0] - center_row = emg_signal.shape[1] // 2 - center_col = emg_signal.shape[2] // 2 - electrode_emg = emg_signal[:, center_row, center_col] - - # 4. Plot - fig, (ax1, ax2) = plt.subplots(2, 1, sharex=True) - - # Spike raster - ax1.scatter(spike_times, [0]*len(spike_times), s=10, c='black') - ax1.set_ylabel('Neuron 5') - ax1.set_ylim(-0.5, 0.5) - - # EMG signal - time = emg_signal.times.magnitude - ax2.plot(time, electrode_emg.magnitude) - ax2.set_xlabel('Time (s)') - ax2.set_ylabel(f'EMG ({electrode_emg.units})') - - plt.tight_layout() - plt.show() - -Troubleshooting ---------------- - -Missing 'groups' attribute -~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -**Issue**: ``AttributeError: 'Block' object has no attribute 'groups'`` - -**Solution**: This is likely a spike train or intramuscular block. Those use ``segments`` not ``groups``. - -IndexError when accessing electrodes -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -**Issue**: ``IndexError`` when accessing electrodes - -**Solution**: Check the shape first: - -.. code-block:: python - - print(signal.shape) # e.g., (150000, 13, 5) - # Then access within bounds: signal[:, 0:13, 0:5] - -Wrong units -~~~~~~~~~~~ - -**Issue**: Values seem wrong (very large or very small) - -**Solution**: Check the units: - -.. code-block:: python - - print(signal.units) # e.g., mV or µV - signal.rescale(pq.mV) # Convert to desired unit - -Additional Resources --------------------- - -- Example: ``examples/01_basic/12_extract_data_from_neo_blocks.py`` -- `Neo Documentation `_ -- `Elephant (Electrophysiology Analysis) `_ -- `Quantities (Unit Handling) `_ diff --git a/docs/source/templates/autosummary/class.rst b/docs/source/templates/autosummary/class.rst deleted file mode 100644 index 3fb3a40b..00000000 --- a/docs/source/templates/autosummary/class.rst +++ /dev/null @@ -1,34 +0,0 @@ -{{ objname | escape | underline}} - -.. currentmodule:: {{ module }} - -.. autoclass:: {{ objname }} - :members: - :show-inheritance: - :member-order: bysource - - {% block methods %} - {% if methods %} - .. rubric:: Methods - - .. autosummary:: - :nosignatures: - :toctree: - {% for item in methods %} - ~{{ objname }}.{{ item }} - {%- endfor %} - {% endif %} - {% endblock %} - - {% block attributes %} - {% if attributes %} - .. rubric:: Attributes - - .. autosummary:: - :nosignatures: - :toctree: - {% for item in attributes %} - ~{{ objname }}.{{ item }} - {%- endfor %} - {% endif %} - {% endblock %} \ No newline at end of file diff --git a/docs/source/templates/autosummary/data.rst b/docs/source/templates/autosummary/data.rst deleted file mode 100644 index e5eb894b..00000000 --- a/docs/source/templates/autosummary/data.rst +++ /dev/null @@ -1,6 +0,0 @@ -{{ objname | escape | underline}} - -.. currentmodule:: {{ module }} - -.. autodata:: {{ objname }} - :annotation: diff --git a/docs/source/templates/autosummary/function.rst b/docs/source/templates/autosummary/function.rst deleted file mode 100644 index 59888209..00000000 --- a/docs/source/templates/autosummary/function.rst +++ /dev/null @@ -1,5 +0,0 @@ -{{ objname | escape | underline}} - -.. currentmodule:: {{ module }} - -.. autofunction:: {{ objname }} \ No newline at end of file diff --git a/docs/source/templates/header-text.html b/docs/source/templates/header-text.html deleted file mode 100644 index 40de2ab9..00000000 --- a/docs/source/templates/header-text.html +++ /dev/null @@ -1,5 +0,0 @@ -
- - made at the N² Lab - -
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-
- - {# If you don't need a dropdown, remove the div below #} - {#
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\ No newline at end of file diff --git a/examples/01_basic/README.rst b/examples/01_basic/README.rst deleted file mode 100644 index 40008168..00000000 --- a/examples/01_basic/README.rst +++ /dev/null @@ -1,11 +0,0 @@ -.. _basic-examples: - -================== -Basics -================== - -| This example gallery contains tutorials demonstrating core functionality and workflow patterns. -| These examples cover the essential building blocks, from motor unit recruitment to EMG signal generation. -| -| The examples are self-contained and can be run independently, though they may depend on each other for context. -| Following the numbered order provides the best learning experience. diff --git a/examples/02_finetune/README.rst b/examples/02_finetune/README.rst deleted file mode 100644 index 72a03e15..00000000 --- a/examples/02_finetune/README.rst +++ /dev/null @@ -1,13 +0,0 @@ -.. _finetune-examples: - -Step-by-step reproduction -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - -| This example gallery contains tutorials for fine-tuning descending drive parameters to match -| target firing rates or force levels. Examples 01–04 form a sequential chain and must be run -| in numbered order, since each example loads results saved by its predecessor. -| -| **01** optimises the descending drive to reproduce a target motor-unit firing rate. -| **02** uses those optimised parameters to compute the resulting muscle force. -| **03** re-optimises the drive to hit a specific force target (e.g. 30 % MVC). -| **04** extracts inter-spike intervals and their coefficient of variation across contraction ramps. diff --git a/examples/03_papers/README.rst b/examples/03_papers/README.rst deleted file mode 100644 index 9fdab0a9..00000000 --- a/examples/03_papers/README.rst +++ /dev/null @@ -1,57 +0,0 @@ -.. _paper-reproductions: - -==================== -Paper Reproductions -==================== - -This gallery contains complete reproductions of published neuromuscular modeling studies using MyoGen. - -Each reproduction demonstrates MyoGen's ability to replicate established research findings and provides validated reference implementations for advanced modeling techniques. - -Purpose -------- - -These examples serve multiple purposes: - -- **Validation**: Demonstrate that MyoGen can reproduce published results -- **Reference**: Provide working implementations of established methods -- **Education**: Show complete workflows from simulation to publication-quality figures -- **Benchmarking**: Establish performance baselines for comparison - -Structure ---------- - -Each paper reproduction is organized into separate scripts: - -1. **Simulation** - Generate spike trains and neural activity -2. **Analysis** - Compute derived signals (force, coherence, etc.) -3. **Visualization** - Reproduce paper figures - -This modular structure allows you to: - -- Re-run expensive simulations independently -- Quickly iterate on visualizations -- Modify analysis parameters without full re-simulation - -Available Reproductions ------------------------ - -Currently available paper reproductions: - -.. card:: Watanabe & Kohn (2015) - :link: watanabe-reproduction - :link-type: ref - - **Fast Oscillatory Commands from the Motor Cortex Can Be Decoded by the Spinal Cord for Force Control** - - J. Neurosci. 35(40):13687-13697. `DOI: 10.1523/JNEUROSCI.1950-15.2015 `_ - - Demonstrates how spinal motor neuron pools decode frequency oscillations from descending cortical drive for force modulation. - - **MyoGen Components**: ``AlphaMN__Pool``, ``DescendingDrive__Pool``, ``Network``, ``ForceModel``, ``SimulationRunner``, ``ContinuousSaver`` - - **Workflow**: 6-step pipeline from baseline force → optimization → simulation → analysis → force computation → visualization - - See :ref:`watanabe-reproduction` for complete documentation. - -More reproductions will be added over time as MyoGen capabilities expand. diff --git a/examples/03_papers/watanabe/README.rst b/examples/03_papers/watanabe/README.rst deleted file mode 100644 index 574376b2..00000000 --- a/examples/03_papers/watanabe/README.rst +++ /dev/null @@ -1,8 +0,0 @@ -.. _watanabe-reproduction: - -Watanabe and Kohn (2015) -====================== - -Reproduces findings from: - - Watanabe, R.N., Kohn, A.F. (2015) *Fast Oscillatory Commands from the Motor Cortex Can Be Decoded by the Spinal Cord for Force Control.* J. Neurosci. 35:13687–13697. `DOI `_ From 1d39f3f8b856ea907c99f1478ec8f63ca59a46b5 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Raul=20C=2E=20S=C3=AEmpetru?= Date: Tue, 23 Jun 2026 14:25:17 +0300 Subject: [PATCH 26/60] docs: restore API symbols + landing content dropped in migration Add MuscleGeometry/JointGeometry/JointBiomechanics to the simulator API, the four missing type aliases, and a RANDOM_GENERATOR/SEED note; restore the How-to-cite, Contributing, and License sections on the home page and the MUAP simulate/access step in the quick-start (per migration-coverage audit). --- docs/api/myogen.md | 7 +++++++ docs/api/simulator.md | 5 +++++ docs/api/types.md | 4 ++++ docs/getting-started.md | 4 ++++ docs/index.md | 28 ++++++++++++++++++++++++++++ 5 files changed, 48 insertions(+) diff --git a/docs/api/myogen.md b/docs/api/myogen.md index 1afaa76f..58869994 100644 --- a/docs/api/myogen.md +++ b/docs/api/myogen.md @@ -1,5 +1,12 @@ # Top-level API (`myogen`) +## Reproducibility + +Module-level state: + +- **`myogen.RANDOM_GENERATOR`** — the global [`numpy.random.Generator`][numpy.random.Generator] used across MyoGen simulations, initialized with the default seed. Change it with `set_random_seed`. +- **`myogen.SEED`** — the current random seed value (default `180319`). + ::: myogen.set_random_seed ::: myogen.get_random_generator ::: myogen.get_random_seed diff --git a/docs/api/simulator.md b/docs/api/simulator.md index d86841f7..4c3e4576 100644 --- a/docs/api/simulator.md +++ b/docs/api/simulator.md @@ -32,3 +32,8 @@ ::: myogen.simulator.SpindleModel ::: myogen.simulator.GolgiTendonOrganModel ::: myogen.simulator.JointDynamics + +## Geometry & biomechanics +::: myogen.simulator.MuscleGeometry +::: myogen.simulator.JointGeometry +::: myogen.simulator.JointBiomechanics diff --git a/docs/api/types.md b/docs/api/types.md index 6a1ef0e9..9536b6e8 100644 --- a/docs/api/types.md +++ b/docs/api/types.md @@ -27,3 +27,7 @@ - SURFACE_EMG__Block - INTRAMUSCULAR_MUAP__Block - INTRAMUSCULAR_EMG__Block + - CORTICAL_INPUT__MATRIX + - RECRUITMENT_THRESHOLDS__ARRAY + - JOINT_ANGLE__ARRAY + - MOMENT_ARM__MATRIX diff --git a/docs/getting-started.md b/docs/getting-started.md index 52b8e273..8b43c144 100644 --- a/docs/getting-started.md +++ b/docs/getting-started.md @@ -98,6 +98,10 @@ surface_emg = simulator.SurfaceEMG( sampling_frequency__Hz=2048.0, MUs_to_simulate=[0, 1, 2, 3, 4], ) + +# 5. Simulate MUAPs and access the results +muaps = surface_emg.simulate_muaps() # neo.Block of MUAP templates +first_mu = muaps.segments[0].analogsignals[0] # everything is inspectable ``` For the full pipeline — spike trains, force, intramuscular EMG, spinal networks diff --git a/docs/index.md b/docs/index.md index a1d25751..e4dfdb52 100644 --- a/docs/index.md +++ b/docs/index.md @@ -35,3 +35,31 @@ configurable building blocks that can be combined and extended independently. Head to [Getting Started](getting-started.md) to install MyoGen and run your first simulation, browse the [Examples](auto_examples/01_basic/index.md) gallery, or dive into the [API Reference](api/index.md). + +## How to cite + +If you use MyoGen in your research, please cite: + +```bibtex +@article{simpetru_molinari_2026_myogen, + title = {MyoGen: Unified Biophysical Modeling of Human Neuromotor Activity and Resulting Signals}, + author = {S{\^i}mpetru, Raul C. and Molinari, Ricardo G. and Rohlf, Devon R. and + Batichotti, Rebeka L. and Watanabe, Renato N. and + Elias, Leonardo A. and Del Vecchio, Alessandro}, + journal = {bioRxiv}, + note = {preprint}, + year = {2026}, + doi = {10.64898/2026.01.01.697284}, + url = {https://www.biorxiv.org/content/10.64898/2026.01.01.697284} +} +``` + +## Contributing + +Contributions are welcome — see the +[issue tracker](https://github.com/NsquaredLab/MyoGen/issues) to report a bug or +propose a feature. + +## License + +MyoGen is released under the **AGPL-3.0-or-later** license. From 20ed09dee7297c9542f05f607ba94099bad07ec2 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Raul=20C=2E=20S=C3=AEmpetru?= Date: Tue, 23 Jun 2026 14:29:24 +0300 Subject: [PATCH 27/60] docs: home shows the logo only, drop the redundant MyoGen title --- docs/index.md | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/docs/index.md b/docs/index.md index e4dfdb52..c94ccd44 100644 --- a/docs/index.md +++ b/docs/index.md @@ -1,7 +1,5 @@
-MyoGen logo - -# MyoGen +

MyoGen

**The modular and extensible simulation toolkit for neurophysiology** From bf735208396001904216720d53cb78b8183566e4 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Raul=20C=2E=20S=C3=AEmpetru?= Date: Wed, 24 Jun 2026 07:28:24 +0300 Subject: [PATCH 28/60] docs(gallery): add committed thumbnails for the example gallery Capture one representative figure per example (run standalone, where they work) and wire them as mkdocs-gallery thumbnails via per-example mkdocs_gallery_thumbnail_path directives + a logo default_thumb_file fallback. Gives the source-only gallery real pictures on the overview grid without executing examples in the docs build (which spawn-bombs on the multiprocessing examples). --- docs/gallery_conf.py | 4 ++++ .../01_compute_baseline_force.png | Bin 0 -> 119386 bytes .../01_optimize_dd_for_target_firing_rate.png | Bin 0 -> 139524 bytes .../01_simulate_recruitment_thresholds.png | Bin 0 -> 53461 bytes .../02_compute_force_from_optimized_dd.png | Bin 0 -> 97974 bytes .../02_optimize_oscillating_dc.png | Bin 0 -> 107440 bytes ...simulate_spike_trains_current_injection.png | Bin 0 -> 48177 bytes .../gallery_thumbs/03_10pct_mvc_simulation.png | Bin 0 -> 49300 bytes .../03_optimize_dd_for_target_force.png | Bin 0 -> 107430 bytes ..._simulate_spike_trains_descending_drive.png | Bin 0 -> 346685 bytes .../04_extract_isi_and_cv_per_ramps.png | Bin 0 -> 351635 bytes .../04_load_and_analyze_results.png | Bin 0 -> 146321 bytes docs/gallery_thumbs/04_simulate_muscle.png | Bin 0 -> 224218 bytes .../05_plot_isi_cv_multi_muscle_comparison.png | Bin 0 -> 73361 bytes .../05_simulate_surface_muaps.png | Bin 0 -> 64252 bytes .../gallery_thumbs/06_simulate_surface_emg.png | Bin 0 -> 49466 bytes docs/gallery_thumbs/06_visualize.png | Bin 0 -> 470694 bytes docs/gallery_thumbs/07_simulate_currents.png | Bin 0 -> 61680 bytes docs/gallery_thumbs/08_simulate_force.png | Bin 0 -> 114064 bytes .../09_simulate_intramuscular_emg.png | Bin 0 -> 50538 bytes .../11_simulate_spinal_network.png | Bin 0 -> 328143 bytes .../12_extract_data_from_neo_blocks.png | Bin 0 -> 309747 bytes .../13_load_and_inspect_nwb_data.png | Bin 0 -> 137198 bytes .../15_noise_parameter_sweep.png | Bin 0 -> 51421 bytes .../01_simulate_recruitment_thresholds.py | 2 ++ ..._simulate_spike_trains_current_injection.py | 2 ++ ...3_simulate_spike_trains_descending_drive.py | 2 ++ examples/01_basic/04_simulate_muscle.py | 2 ++ examples/01_basic/05_simulate_surface_muaps.py | 2 ++ examples/01_basic/06_simulate_surface_emg.py | 2 ++ examples/01_basic/07_simulate_currents.py | 2 ++ examples/01_basic/08_simulate_force.py | 2 ++ .../01_basic/09_simulate_intramuscular_emg.py | 2 ++ .../01_basic/11_simulate_spinal_network.py | 2 ++ .../12_extract_data_from_neo_blocks.py | 2 ++ .../01_basic/13_load_and_inspect_nwb_data.py | 2 ++ examples/01_basic/15_noise_parameter_sweep.py | 2 ++ .../01_optimize_dd_for_target_firing_rate.py | 2 ++ .../02_compute_force_from_optimized_dd.py | 2 ++ .../03_optimize_dd_for_target_force.py | 2 ++ .../04_extract_isi_and_cv_per_ramps.py | 2 ++ .../05_plot_isi_cv_multi_muscle_comparison.py | 2 ++ .../watanabe/01_compute_baseline_force.py | 2 ++ .../watanabe/02_optimize_oscillating_dc.py | 2 ++ .../watanabe/03_10pct_mvc_simulation.py | 2 ++ .../watanabe/04_load_and_analyze_results.py | 2 ++ examples/03_papers/watanabe/06_visualize.py | 2 ++ 47 files changed, 50 insertions(+) create mode 100644 docs/gallery_thumbs/01_compute_baseline_force.png create mode 100644 docs/gallery_thumbs/01_optimize_dd_for_target_firing_rate.png create mode 100644 docs/gallery_thumbs/01_simulate_recruitment_thresholds.png create mode 100644 docs/gallery_thumbs/02_compute_force_from_optimized_dd.png create mode 100644 docs/gallery_thumbs/02_optimize_oscillating_dc.png create mode 100644 docs/gallery_thumbs/02_simulate_spike_trains_current_injection.png create mode 100644 docs/gallery_thumbs/03_10pct_mvc_simulation.png create mode 100644 docs/gallery_thumbs/03_optimize_dd_for_target_force.png create mode 100644 docs/gallery_thumbs/03_simulate_spike_trains_descending_drive.png create mode 100644 docs/gallery_thumbs/04_extract_isi_and_cv_per_ramps.png create mode 100644 docs/gallery_thumbs/04_load_and_analyze_results.png create mode 100644 docs/gallery_thumbs/04_simulate_muscle.png create mode 100644 docs/gallery_thumbs/05_plot_isi_cv_multi_muscle_comparison.png create mode 100644 docs/gallery_thumbs/05_simulate_surface_muaps.png create mode 100644 docs/gallery_thumbs/06_simulate_surface_emg.png create mode 100644 docs/gallery_thumbs/06_visualize.png create mode 100644 docs/gallery_thumbs/07_simulate_currents.png create mode 100644 docs/gallery_thumbs/08_simulate_force.png create mode 100644 docs/gallery_thumbs/09_simulate_intramuscular_emg.png create mode 100644 docs/gallery_thumbs/11_simulate_spinal_network.png create mode 100644 docs/gallery_thumbs/12_extract_data_from_neo_blocks.png create mode 100644 docs/gallery_thumbs/13_load_and_inspect_nwb_data.png create mode 100644 docs/gallery_thumbs/15_noise_parameter_sweep.png diff --git a/docs/gallery_conf.py b/docs/gallery_conf.py index 69385145..255f5f8e 100644 --- a/docs/gallery_conf.py +++ b/docs/gallery_conf.py @@ -49,6 +49,10 @@ def reset_neuron(gallery_conf, fname): "ignore_pattern": r"(14_calibrate_noise_from_real|_oscillating_dc_helpers|_optimize_dc_worker)\.py", "within_subsection_order": FileNameSortKey, "image_scrapers": ("matplotlib",), + # 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