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.

External Links

• gumpy: www.gumpy.org
• gumpy on github: https:/github.com/gumpy-hybridBCI/

gumpy-deeplearning core developers and contributors

• Zied Tayeb
• Nicolai Waniek, www.github.com/rochus
• Nejla Ghaboosi
• Juri Fedjaev
• Leonard Rychly

License

• All code in this repository is published under the MIT License. For more details see the LICENSE file.