BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data

Demetres Kostas, Stephane Aroca-Ouellette, Frank Rudzicz

Deep neural networks (DNNs) used for brain-computer-interface (BCI) classification are commonly expected to learn general features when trained across a variety of contexts, such t…