Repository for the I-VEP BCI paradigm

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

Graph Neural Networks with Keras and Tensorflow 2.

Graph-Attentive CNN for cVEP-BCI with Insights into Electrode Significance

This project uses deep regression and generative models to reconstruct music from brain responses as participants passively listen to full length music.

Config files for my GitHub profile.

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Towards Naturalistic BCI: Applying Deep Learning to Decode Brain Activity During Passive Listening to Speech

Git repo for the BME deep learning course.