EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD
-
Updated
Apr 28, 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.
EEG/MEG data preprocessing and analyses framework
Robust electrophysiology tools with GPU acceleration
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
Add a description, image, and links to the eeg-preprocessing topic page so that developers can more easily learn about it.
To associate your repository with the eeg-preprocessing topic, visit your repo's landing page and select "manage topics."