One Transformer Reads Three Brain-Signal Types at Once, Hitting 71% Accuracy
A single Transformer-based decoder trained on the OpenBMI dataset classified eight EEG classes spanning motor imagery, P300, and SSVEP paradigms with 71.00% mean accuracy across 54 participants. Subject of Research: A unified Transformer architecture for decoding motor imagery, P300, and SSVEP EEG signals in…