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eeg-microstate-analysis-tutorial

This GitHub provides a tutorial for performing microstate analysis of EEG data in Cartool software.

eeg-notebooks

A collection of classic EEG experiments implemented with Python and Jupyter notebooks

eeg_cluster_wilcoxon

eeg_microstates

EEG microstate analysis

eeg_positions

Compute and plot standard EEG electrode positions.

eeglab

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

eegpy

EEG analysis system developed in Python

eegtools

Collection of Python modules for EEG analysis. Includes EDF+ and BDF loaders, scalp plots and commonly used spatial filters.

electrophysiologydata

A list of openly available datasets in (mostly human) electrophysiology.

erplab

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 enormous power for intermediate and advanced users.

esp32-signal-generator

Open-Source Signal Generator using the ESP32 uC

externaldisplaybrightness

A Mac app to control the brightness of external displays using keyboard shortcuts

feedforward_closedloop_learning

Feedforward Closedloop Learning

fieldtrip

The MATLAB toolbox for MEG, EEG and iEEG analysis

firfilt

Routines for designing Windowed Sinc, Parks-McClellan and Moving Average Finite Impulse Response (FIR) filters and filtering EEGLAB EEG datasets. The routines for designing Parks-McClellan FIR filters require the MATLAB Signal Processing Toolbox. Report bugs, unexpected behavior and feature requests to widmann at uni-leipzig dot de.

fmriprep

fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

ftf-analysis

This is a Matlab code for F-value time-frequency (FTF) analysis. FTF analysis applies the F-value of ANOVA to time-frequency analysis. FTF analysis represents the statistical differences among conditions in both the time and frequency domains.

gc_clean

Scripts and functions to calculate and investigate Granger causality in neuroscience

granger-causality-analysis

Using GC analysis to explore the effective connectivities

gzenke-nonlinear-transient-amplification

hmc

Python Module for decision tree based hierarchical multi-classification

hybridharmony

adapted from harmonic-dissonance, with upgraded UI and computation

imat

Independent Modulators Analysis Toolbox

imgclsmob

Sandbox for training convolutional networks for computer vision

keyfactorsforimprovingicaineeg

Complete processing scripts for the paper "Identifying key factors for improving ICA-based decomposition of EEG data in mobile and stationary experiments" (Klug & Gramann, 2020).

keypy

Python library for EEG preprocessing, analysis (microstates, spectra) and statistics

labstreaminglayer

LabStreamingLayer super repository comprising submodules for LSL and associated apps.

lambda-networks

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

lambdanetworks

Implementation of LambdaNetworks, a framework for capturing long-range interaction between structured contextual information. Tensorflow-2.x implementation.

liblsl-python

Python bindings (pylsl) for liblsl