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  Regularised CSP for Sensor Selection in BCI

Farquhar, J., Hill, N., Lal, T., & Schölkopf, B. (2006). Regularised CSP for Sensor Selection in BCI. In G. Müller-Putz (Ed.), 3rd International Brain-Computer Interface Workshop and Training Course 2006 (pp. 14-15). Graz, Austria: Verlag der Technischen Universität Graz.

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 Urheber:
Farquhar, J1, 2, Autor           
Hill, NJ1, 2, Autor           
Lal, TN1, 2, Autor           
Schölkopf, B1, 2, Autor           
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Zusammenfassung: The Common Spatial Pattern (CSP) algorithm is a highly successful method for efficiently calculating spatial filters for brain signal classification. Spatial filtering can improve classification performance considerably, but demands that a large number of electrodes be mounted, which is inconvenient in day-to-day BCI usage. The CSP algorithm is also known for its tendency to overfit, i.e. to learn the noise in the training set rather than the signal. Both problems motivate an approach in which spatial filters are sparsified. We briefly sketch a reformulation of the problem which allows us to do this, using 1-norm regularisation. Focusing on the electrode selection issue, we present preliminary results on EEG data sets that suggest that effective spatial filters may be computed with as few as 10--20 electrodes, hence offering the potential to simplify the practical realisation of BCI systems significantly.

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 Datum: 2006-09
 Publikationsstatus: Erschienen
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 Identifikatoren: BibTex Citekey: 4245
 Art des Abschluß: -

Veranstaltung

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Titel: 3rd International Brain-Computer Interface Workshop and Training Course 2006
Veranstaltungsort: Graz, Austria
Start-/Enddatum: 2006-09-21 - 2006-09-24

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Titel: 3rd International Brain-Computer Interface Workshop and Training Course 2006
Genre der Quelle: Konferenzband
 Urheber:
Müller-Putz, GR, Herausgeber
Affiliations:
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Ort, Verlag, Ausgabe: Graz, Austria : Verlag der Technischen Universität Graz
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 14 - 15 Identifikator: ISBN: 3-902465-46-8