Deep Learning models for Brain Computer Interfaces
This repository contains deep learning models that can be used to decode EEG and
EEG signals for brain computer interfaces (BCIs). Some of the models depend on
the functionality that is provided by
gumpy, a python toolbox that contains
several signal and feature processing routines that are commonly used for BCIs.
gumpy-deeplearning core developers and contributors
- Zied Tayeb
- Nicolai Waniek, www.github.com/rochus
- Nejla Ghaboosi
- Juri Fedjaev
- Leonard Rychly
- All code in this repository is published under the MIT License. For more details see the LICENSE file.