Towards Zero Training for Brain-Computer Interfacing

Electroencephalogram (EEG) signals are highly subject-specific and vary considerably even between recording sessions of the same user within the same experimental paradigm. This challenges a stable operation of Brain-Computer Interface (BCI) systems. The classical approach is to train users by neuro...

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Detalles Bibliográficos
Autores principales: Krauledat, Matthias, Tangermann, Michael, Blankertz, Benjamin, Müller, Klaus-Robert
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2008
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2500157/
https://www.ncbi.nlm.nih.gov/pubmed/18698427
http://dx.doi.org/10.1371/journal.pone.0002967

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2500157/
https://www.ncbi.nlm.nih.gov/pubmed/18698427
http://dx.doi.org/10.1371/journal.pone.0002967

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