EEGPrep is an automated preprocessing tool for human EEG data built on a benchmarked EEGLAB pipeline

group sequential tests for neuroimaging

laura: Local Auto-Regressive Average: A linear solution to the M/EEG inverse problem

Detect individual alpha peak in MEG/EEG signals

Apply baseline correction to MNE Epochs instance

Set up and fit ICA on epoched MEG/EEG data using MNE-python

Brainlife app for temporal filtering of MEG/EEG signals using MNE python

Brainlife app for temporal filtering of MEG/EEG signals using MNE python

Concatenate multiple MNE.Raw instances into single .Raw

Backend scripts for the XNAT edf-fif-et importer plugin.

Brainlife app to mark bad channels and segments in a raw MNE by hand.