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World’s fastest brain-computer interface: Combining EEG2Code with deep learning

We present a novel approach based on deep learning for decoding sensory information from non-invasively recorded Electroencephalograms (EEG). It can either be used in a passive Brain-Computer Interface (BCI) to predict properties of a visual stimulus the person is viewing, or it can be used to activ...

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Detalles Bibliográficos
Autores principales:	Nagel, Sebastian, Spüler, Martin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2019
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6730910/ https://www.ncbi.nlm.nih.gov/pubmed/31490999 http://dx.doi.org/10.1371/journal.pone.0221909

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