Abstract
This paper discusses machine learning methods and their application to Brain-Computer Interfacing. A particular focus is placed on linear classification methods which can be applied in the BCI context. Finally, we provide an overview on the Berlin-Brain Computer Interface (BBCI). © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Müller, K. R., Krauledat, M., Dornhege, G., Curio, G., & Blankertz, B. (2007). Machine learning and applications for brain-computer Interfacing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4557 LNCS, pp. 705–714). Springer Verlag. https://doi.org/10.1007/978-3-540-73345-4_80
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