Muse 2016 EEG Headset JavaScript Library (using Web Bluetooth)

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.

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

A basic R package for processing and plotting EEG data

EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow

Analyze and manipulate EEG data using PyEEGLab.

EEG Features to be extract from raw data.

NeuroSky MindWave & MindWave Mobile EEG Headset library for Windows 10 Universal applications

A package for manipulating EEG data in R.

Function to calculate consistency of phase at a given frequency across measurements

These C/C++ source files consist of 150 classes, 300,000 lines of code, excluding a Qt-based user interface. Its functionality includes: GLM-statistics, hierarchical clustering, (non)-linear optimization, L1 and L2 norm minimization, Hungarian algorithm, EEG/MEG forward and inverse modelling, Boundary Element Method, spatio/temporal covariance modelling, image fusion, triangular meshes, KD-trees, topological error correction, marching cubes & spherical triangulations, sparse matrices and matrix operations, spherical harmonics, wavelets, spectra and spectrograms, Fast Fourier transform (FFTWest), data import for many different EEG/MEG data formats, data import for many image data formats.

A MATLAB application to automatize analysis of EEG data

An android app that displays EEG readings from a NeuroSky Mindwave headset.

Function to calculate consistency of phase at a given frequency across measurements

Android app for EEG data visualization and recording with the Traumschreiber BLE device

Repository with Machine Learning techniques to identify Epileptic Seizure from EEG data.

Brain Control Interface based smart wheelchair. Actions include start, turn left, right, stop with your brain and eye blinks

In this project, we address the problem of eye-blink detection and analysis of left and right human eye blinks using EEG signals with help of Neurosky Mindwave Mobile. The purpose of this project is to monitor and understanding of eye blinks for proper communication with a person

maintainance of the code for complex network analysis based modeling of Event Related Potential (ERP) electroencephalography (EEG) data from baby brain, can be applied to other data, including human brain.

BV2BIDS is a command line tool that creates the EEG-BIDS folder hierarchy from BVCD files.

In this study, we aim to investigate the decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitting. We developed a behavioral task in which participants were instructed to perform both AO and MI/ME in regard to the actions of sit-to-stand and stand-to- sit. Our results demonstrated that the ERD was prominent during AO, whereas ERS was typical during MI at the alpha band across the sensorimotor area.

brainhack workshop for 34c3

Materials for the course "A Hands-On Introduction to Event-Related Potentials" developed and taught by Mariella Paul

EEG spectrum mean of 84 records

Method for comparing 'dissimilarity' between two datasets

A brain-controlled Minecraft in Virtual Reality