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Elekta/MNE FIF (.fif) — MEG / EEG native format
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Based on SOC occupation classification
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 | fif |
| description | Elekta/MNE FIF (.fif) — MEG / EEG native format |
| layer | L0 |
| group | consumer_eeg |
| metadata | {"tags":["io","fif","mne","elekta","neuromag","meg"],"formats":[".fif"],"modalities":["meg","eeg"]} |
FIF is the Neuromag / Elekta MEG vendor format and the MNE-Python canonical file format. Most MEG labs and many EEG labs using MNE export FIF.
Primary: mne.io.read_raw_fif(path, preload=True).
info["proc_history"]; raw MEG vs
tSSS-processed are different.*.fif, *-1.fif, ...;
MNE handles via the link annotations.- load:fif
edf: clinical EEG.brainvision: vendor EEG.eeglab_set: MATLAB EEGLAB.