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

Automatic EEG IC classification plugin for EEGLAB

An easy to use decoding toolbox for Matlab users.

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: data preprocessing, model fitting and connectivity estimation, statistical analysis, visualization, group analysis, and neuronal data simulation.

Microstate Eeglab Toolbox ⭐ 21

Microstate EEGlab toolbox

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

Eeg Blinks ⭐ 16

BLINKER: Automated blink detector for EEG

Eegtools Matlab Pipeline ⭐ 9

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

Eeg_to_erp_pipeline_stats_r ⭐ 9

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

Headmodel ⭐ 7

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.

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

Countingsheeppsg ⭐ 6

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

Eeglab Fft ⭐ 6

EEGLAB scripts for FFT analysis of multiple EEG datasets + data visualization.

Detect_spindles ⭐ 6

Method for detecting sleep spindles using EEGlab functions and datasets

A MATLAB application to automatize analysis of EEG data

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