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 which contains several signal and feature processing routines that are commonly used for BCIs.

External Links

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

gumpy-deeplearning core developers and contributors

• Zied Tayeb
• Nicolai Waniek, www.github.com/rochus
• Juri Fedjae
• Leonard Richly

License

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