Braindecode is an open-source Python toolbox for decoding raw electrophysiological brain data with deep learning models. It includes dataset fetchers, data preprocessing and visualization tools, as well as implementations of several deep learning architectures and data augmentations for analysis of EEG, ECoG and MEG.
Braindecode is designed for neuroscientists who want to work with deep learning and deep learning researchers who want to work with neurophysiological data.
Braindecode can easily be installed via pip:
pip install braindecode
Intorduction to Braindecode:
For usage examples, API reference, and tutorials, see the official documentation linked above.
The Data-Driven NeuroTechnology lab is actively supporting, maintaining, and contributing to the Braindecode project.
