Machine learning techniques for brain-computer interfaces

Machine learning techniques for brain-computer interfaces (2004)

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by K.-R. Müller , M. Krauledat , G. Dornhege , G. Curio , B. Blankertz

Venue:	BIOMEDICAL ENGINEERING
Citations:	11 - 2 self

BibTeX

@ARTICLE{Müller04machinelearning,
    author = {K.-R. Müller and M. Krauledat and G. Dornhege and G. Curio and B. Blankertz},
    title = {Machine learning techniques for brain-computer interfaces},
    journal = {BIOMEDICAL ENGINEERING},
    year = {2004},
    pages = {11--22}
}

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Abstract

This review discusses machine learning methods and their application to Brain-Computer Interfacing. A particular focus is placed on feature selection. We also point out common flaws when validating machine learning methods in the context of BCI. Finally we provide a brief overview on the Berlin-Brain Computer Interface (BBCI).

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