Machine Learning Techniques for Brain-computer Interfaces

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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@inproceedings{Mueller2004MachineLT, title={Machine Learning Techniques for Brain-computer Interfaces}, author={K Mueller and Matthias Krauledat and Guido Dornhege and Gabriel Curio and Benjamin Blankertz}, year={2004} }