This toolbox contains all software required to implement and analyze closed-loop amplitude-modulated non-invasive brain stimulation (CLAM-NIBS) experiments

AI Crash Course to help busy builders catch up to the public frontier of AI research in 2 weeks

Contains the code to reproduce figures from the manuscript "Representation of internal speech by single neurons in human supramarginal gyrus"

This project focuses on implementing CNN model based on the EEGNet architecture with Pytorch library for classifying motor imagery tasks using EEG data.

Tutorial for fitting group DCMs on M/EEG data

Code used for the manuscript: "Continuous Tracking using Deep Learning-based Decoding for Non-invasive Brain-Computer Interface"

Apply surface laplacian transform to mne Epochs objects

python implementations of Analyzing Neural Time Series Textbook

Deprecated source for mademistakes.com. Previously built with Jekyll, Gulp, and Netlify.

Brain-Computer interface stuff

A jupyter notebook that explains how to plot OpenBCI data

Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA

Material for the BCI Workshop held at District 3 in May 2015 by BCI Montréal.

Previous version of eeg-notebooks

Curated Collection of BCI resources

Mother of All BCI Benchmarks