EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
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Updated
Aug 15, 2024 - MATLAB
EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
End-to-End EEG Pipeline for cleaning, filtering, ICA, mass-univariate, and decoding analysis using MNE python
MNE-preprocessing is a python repository to reduce artifacts based on basic and unanimous approaches step by step from electroencephalographic (EEG) raw data.
Robust electrophysiology tools with GPU acceleration
EEG/MEG data preprocessing and analyses framework
General pipeline used for analyzing EEG data where Raw EEG data gets transformed into ERPS and Stats are done in R (Mixed effects models)
EEGLAB-compatible analysis software for manual / visual sleep stage scoring, signal processing and event marking of polysomnographic (PSG) data for MATLAB.
EEG quality analysis pipeline
Notebooks for cleaning, filtering, and performing ICA, Mass-univariate and Decoding analysis
BIDSAlign a library for preprocessing and align multiple datasets to a common template.
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