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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
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
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.