PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

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 Volume 7, Number 2, 2010. ISSN 1741-2560

Abstract

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.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Brain Computer Interfaces
ID Code:6061
Deposited By:Jose Leiva-Murillo
Deposited On:08 March 2010