EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces

Our results suggest that EEGNet is robust enough to learn a wide variety of interpretable features over a range of BCI tasks. Our models can be found at: https://github.com/vlawhern/arl-eegmodels.