brain-computer-interface

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

Python package for covariance matrices manipulation and Biosignal classification with application in Brain Computer interface

Mother of All BCI Benchmarks

Muse 2016 EEG Headset JavaScript Library (using Web Bluetooth)

Brain-Computer interface stuff

[Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf

The programming interface for your body and mind

Python Brain-Computer Interface Software

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

A wheelchair controlled by EEG brain signals and enhanced with assisted driving

Low Cost Electroencephalogram Based Brain-Computer-Interface

Android SDK for the NeuroSky MindWave Mobile Brainwave Sensing Headset

Python SDK for high performance on-line Brain Computer Interface development.

Blackrock Microsystems Cerebus Link for Neural Signal Processing

Matlab source code of the paper "D. Wu, X. Jiang, R. Peng, W. Kong, J. Huang and Z. Zeng, Transfer Learning for Motor Imagery Based Brain-Computer Interfaces: A Complete Pipeline, Information Sciences, 2021, submitted."

Classification toolbox for ERP and SSVEP based BCI data

Riemannian Geometry workshop at vBCI Meeting 2021

A driver, parser and real time plotter for NeuroSky MindWave EEG headset

Neural networks for EEG-MEG decoding with MNE-python and Tensorflow.

Using multi-task learning to capture signals simultaneously from the fovea efficiently and the neighboring targets in the peripheral vision generate a visual response map. A calibration-free user-independent solution, desirable for clinical diagnostics. A stepping stone for an objective assessment of glaucoma patients’ visual field.

Python API for Mentalab biosignal aquisition devices

A Python Library for Implementing Human-Computer Interface Experiments

Implementation of ConvLSTM in pytorch applied for BCI (Brain Machine Interface) following paper: Convolutional LSTM Network-A Machine Learning Approach for Precipitation Nowcasting

An EEG Simmulator for Computational NeuroScience

🧠 Brain-Computer Interfacing bootcamp course + projects @ Saturdays.AI (BCI + AI)

Project to test the accuracy of multiple algorithms published in articles to the EEG binary motor imagery problem

Senior Design Project at UH