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neural-io-index
Index of L0 data-format loader skills by family
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Index of L0 data-format loader skills by family
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
Neurodata Without Borders (.nwb) — the de-facto standard for in-vivo electrophysiology (Neuropixels / AIBS / DANDI / IBL)
Index of all L2 paradigm skills by group + analysis_goal → paradigm matrix
Two-phase BCI data preprocessing pipeline: deep-inspect → plan → propose → user confirm → automated code/execute/QC/export
BIDS-iEEG sidecar (*_channels.tsv / *_electrodes.tsv / *_coordsystem.json / *_ieeg.json) — clinical sEEG / ECoG standard
Multiscale Electrophysiology Format v3 (Mayo Clinic) — long-duration encrypted sEEG
BrainVision (.vhdr / .vmrk / .eeg) — Brain Products vendor format
| name | neural-io-index |
| description | Index of L0 data-format loader skills by family |
| layer | L0 |
| group | ephys_wide_band |
| metadata | {"tags":["index","neural-io","loader","navigation","l0"],"analysis_goal_allowed":["classification","source_localization","feature_extraction","clinical_screening","exploratory","generic","connectivity","phase_amplitude_coupling","online_inference"],"analysis_goal_forbidden":[]} |
Navigation.
L0 (this page) → L1 Orchestration → L2 Paradigms → L3 Operators.
This index lists L0 IO format loader skills, grouped by file-format family.
Each format skill documents the loader library, channel/sample-rate/events
mapping into the OperatorIO schema, and known pitfalls. Load one with
skill_view(name='<format>') only when _handle_inspect_data hits a
non-built-in format.
The dispatcher hits L0 last, after L1 → L2 → L3 — L0 is consulted
only when _handle_inspect_data hits a format the built-in dispatcher
can't already load; the only legitimate reason to read an L0 skill is
"I need to write a custom loader for this format before any pipeline
step can proceed."
Format-skill stubs live as
io/<family>/<format>/SKILL.md. The list below matches the planned content drop in T9 sibling plan03-preprocessing-skill-expansion/3-3-io-formats.md. Anything tagged (planned) below is a slot reserved for that plan; the row should land on this page automatically once the format skill is written.
ephys_wide_band/ — General wide-band electrophysiology (planned: 3)| Format | Extension | Loader |
|---|---|---|
| NWB / Neurodata Without Borders | .nwb | pynwb ≥ 2.5 |
| BIDS-iEEG sidecar | sidecar .tsv / .json | mne-bids |
| MEF3 (Mayo) | .mefd/ directory | pymef |
spike_ephys/ — High-rate single-unit ephys (planned: 5)| Format | Extension | Loader |
|---|---|---|
| SpikeGLX (Neuropixel) | .bin + .meta | SpikeInterface.read_spikeglx |
| Open Ephys | continuous.dat + .oebin | SpikeInterface.read_openephys |
| Blackrock | .ns5 / .ns2 / .nev | brpylib |
| Plexon | .plx / .pl2 | neo.io.PlexonIO |
| Neuralynx | .ncs / .nse / .nev | neo.io.NeuralynxIO |
clinical_ieeg/ — Clinical iEEG / sEEG (planned)Clinical depth/grid recordings often arrive as proprietary vendor formats plus DICOM-MR for electrode localization. Format skills here cover the loader contract, anonymization expectations, and the BIDS-iEEG export path.
consumer_eeg/ — Mainstream EEG formats (in-code loaders → planned stubs)| Format | Extension | Loader |
|---|---|---|
| EDF / EDF+ | .edf | mne.io.read_raw_edf |
| FIF | .fif | mne.io.read_raw_fif |
| BrainVision | .vhdr + .vmrk + .eeg | mne.io.read_raw_brainvision |
| EEGLAB SET | .set | mne.io.read_raw_eeglab |
| LSL XDF | .xdf | pyxdf |
| CSV / NPY | .csv / .npy | numpy + manual schema |
| MAT | .mat | scipy.io.loadmat |
fnirs/ — fNIRS (planned: 1)| Format | Extension | Loader |
|---|---|---|
| SNIRF | .snirf | mne.io.read_raw_snirf |
streaming/ — Real-time stream (planned: 1)| Format | Source | Loader |
|---|---|---|
| LSL stream | Lab Streaming Layer | pylsl |
When _handle_inspect_data encounters a format that is not in the
"in-code loaders" list above (EDF / FIF / BrainVision / EEGLAB SET / XDF /
CSV / NPY / MAT), it must:
skill_view(name='neural-io-index') to discover the right format family.skill_view(name='<format>') to fetch the loader contract before
writing or generating a custom loader.See bci/pipeline/SKILL.md Step 1 (Format-Agnostic Loading) for
the corresponding orchestration text.
layer: L0 in frontmatter.{ephys_wide_band, spike_ephys, clinical_ieeg, consumer_eeg, fnirs, streaming},
matching its parent directory (bci/neural-io/<group>/<format>/).easybci_lib/tools/neural_processing/preprocess/analysis_goals.py.The layer / group enums are defined in
easybci_lib/tools/neural_processing/skill_layers.py (single source of
truth). Run python -m easybci_lib.tools.neural_processing._check_consistency --strict
to verify the contract before merging new format skills.