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  Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance

Hill, J., Farquhar, J., Martens, S., Biessmann, F., & Schölkopf, B. (2009). Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance. In D. Koller, D. Schuurmans, Y. Bengio, & L. Bottou (Eds.), Advances in neural information processing systems 21 (pp. 665-672). Red Hook, NY, USA: Curran.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-C47B-4 Versions-Permalink: https://hdl.handle.net/21.11116/0000-0002-DE64-4
Genre: Konferenzbeitrag

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 Urheber:
Hill, J1, 2, Autor           
Farquhar, J, Autor           
Martens, SMM1, 2, Autor           
Biessmann, F2, 3, 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              
3Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497798              

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 Zusammenfassung: From an information-theoretic perspective, a noisy transmission system such as a visual Brain-Computer Interface (BCI) speller could benefit from the use of errorcorrecting codes. However, optimizing the code solely according to the maximal minimum-Hamming-distance criterion tends to lead to an overall increase in target frequency of target stimuli, and hence a significantly reduced average
target-to-target interval (TTI), leading to difficulties in classifying the individual event-related potentials (ERPs) due to overlap and refractory effects. Clearly any change to the stimulus setup must also respect the possible psychophysiological consequences. Here we report new EEG data from experiments in which we explore stimulus types and codebooks in a within-subject design, finding an interaction between the two factors. Our data demonstrate that the traditional, rowcolumn code has particular spatial properties that lead to better performance than one would expect from its TTIs and Hamming-distances alone, but nonetheless error-correcting codes can improve performance provided the right stimulus type is used.

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 Datum: 2009-06
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: BibTex Citekey: 5433
 Art des Abschluß: -

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Titel: Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008)
Veranstaltungsort: Vancouver, BC, Canada
Start-/Enddatum: 2008-12-08 - 2008-12-10

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Titel: Advances in neural information processing systems 21
Genre der Quelle: Konferenzband
 Urheber:
Koller, D, Herausgeber
Schuurmans, D, Herausgeber
Bengio, Y, Herausgeber
Bottou, L, Herausgeber
Affiliations:
-
Ort, Verlag, Ausgabe: Red Hook, NY, USA : Curran
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: 665 - 672 Identifikator: ISBN: 978-1-60560-949-2