A generative model approach for decoding in the visual
event-related potential-based brain--computer interface speller
S.M.M. Martens and J.M. Leiva-Murillo
Journal of Neural Engineering
There is a strong tendency towards discriminative approaches in brain–computer interface (BCI) research. We argue that generative model-based approaches are worth pursuing and propose a simple generative model for the visual ERP-based BCI speller which incorporates prior knowledge about the brain signals. We show that the proposed generative method needs less training data to reach a given letter prediction performance than the state of the art discriminative approaches.