EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD

ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. A graphical user interface makes it easy for beginners to learn, and Matlab scripting provides eno…

Contains tools for EEG standardized preprocessing

Automatic EEG IC classification plugin for EEGLAB

Microstate EEGlab toolbox

SIFT is an EEGLAB-compatible toolbox for analysis and visualization of multivariate causality and information flow between sources of electrophysiological (EEG/ECoG/MEG) activity. It consists of a suite of command-line functions with an integrated Graphical User Interface for easy access to multiple features. There are currently six modules: dat…

EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)

The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitting. (IEEE Sensors Journal)

Detection of ECG events (R wave, T wave) for the preprocessing of the heartbeat evoked potential

An easy to use decoding toolbox for Matlab users.

Process and analyse EEG brain signals using EEGlab

A MATLAB application to automatize analysis of EEG data

BLINKER: Automated blink detector for EEG

Complete EEG analysis framework written in matlab, using EEGLAB and BRAINSTORM

EEGLAB-compatible analysis software for manual / visual sleep stage scoring, signal processing and event marking of polysomnographic (PSG) data for MATLAB.

The headModel toolbox for MATLAB/EEGLAB encapsulates in a single interface (the headModel class) common routines to allow out-of-the-box solutions to EEG forward and inverse problems.

GEDAI denoising plugin for the EEGLAB toolbox

General pipeline used for analyzing EEG data where Raw EEG data gets transformed into ERPS and Stats are done in R (Mixed effects models)

Code used for research project. Our objective was to characterize brain responses to Binaural Beats (from brainstem responses to cortical connectivity patterns)

Reject and interpolate channels on a epoch by epoch basis (EEGLAB plugin)