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New BCI approaches: Selective Attention to Auditory and Tactile Stimulus Streams

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http://pubman.mpdl.mpg.de/cone/persons/resource/persons83968

Hill,  NJ
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons84157

Raths,  C
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Hill, N., & Raths, C. (2007). New BCI approaches: Selective Attention to Auditory and Tactile Stimulus Streams. Talk presented at Invited talk at the PASCAL Workshop on Methods of Data Analysis in Computational Neuroscience and Brain Computer Interfaces. Berlin, Germany.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-CDA1-F
Abstract
When considering Brain-Computer Interface (BCI) development for patients in the most severely paralysed states, there is considerable motivation to move away from BCI systems based on either motor cortex activity, or on visual stimuli. Together these account for most of current BCI research. I present the results of our recent exploration of new auditory- and tactile-stimulus-driven BCIs. The talk includes a tutorial on the construction and interpretation of classifiers which extract spatio-temporal features from event-related potential data. The effects and implications of whitening are discussed, and preliminary results on the effectiveness of a low-rank constraint (Tomioka and Aihara 2007) are shown.