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MATLAB .mat — generic MATLAB array container (v5 / v7 / v7.3)
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
Neurodata Without Borders (.nwb) — the de-facto standard for in-vivo electrophysiology (Neuropixels / AIBS / DANDI / IBL)
Index of L0 data-format loader skills by family
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
| name | mat |
| description | MATLAB .mat — generic MATLAB array container (v5 / v7 / v7.3) |
| layer | L0 |
| group | consumer_eeg |
| metadata | {"tags":["io","mat","matlab","hdf5","generic"],"formats":[".mat"],"modalities":["eeg","meg","seeg","ecog","fnirs","lfp","spike"]} |
.mat files: MATLAB native — v5/v6 (proprietary), v7 (compressed), v7.3
(HDF5-based). Common in legacy EEG / decoding code that started in
MATLAB.
scipy.io.loadmat(path).h5py.File(path) or mat73 PyPI package.scipy.io.matlab.whosmat..mat is a dict-of-variables; user must
identify which variable holds the data.- load:mat,varname=USER_PROVIDED,sfreq=USER_PROVIDED
save / load v7.3 spec.scipy.io.loadmat.eeglab_set: EEGLAB-specific .set is a structured .mat.csv_npy: scientific-Python flat arrays.