Modeling EEG Data Distribution With a Wasserstein Generative Adversarial Network to Predict RSVP Events.

Electroencephalography (EEG) data are difficult to obtain due to complex experimental setups and reduced comfort with prolonged wearing. This poses challenges to train powerful deep learning model with the limited EEG data. Being able to generate EEG data computationally could address this limitation.