EEG

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

Deep learning software to decode EEG, ECG or MEG signals

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.

MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.

Automated rejection and repair of bad trials/sensors in M/EEG

Low Cost Electroencephalogram Based Brain-Computer-Interface

Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG

3D Visualization of Brain MRI

Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"

Eye movement and blink-related EEG and MEG artifact correction algorithms

All-resolutions Inference for M/EEG in Python

This repository provides analysis code to analyze intracranial electrophysiological data with data-driven spatial filters.

Plotting and visualization tools for EEG data, with additional Unfold.jl regression ERP methods. Based on the visualization libraries Makie.jl and AlgebraOfGraphics.jl

Assorted machine learning implementations for medical data.

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

Sleep Data Analysis with R

🎧 Muse - The brain sensing headband plus attention level

Developed an Electroencephalography(EEG) based Brain Computer Interface to play Pong with brain activity

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

Visualisation & processing of MEG data and networks on meshes. A bunch of functions, examples and a gui.