期刊
JOURNAL OF NEURAL ENGINEERING
卷 7, 期 2, 页码 -出版社
IOP Publishing Ltd
DOI: 10.1088/1741-2560/7/2/026003
关键词
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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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