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Compensation for Speed-of-Processing Effects in EEG-Data Analysis

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Book cover Intelligent Data Engineering and Automated Learning – IDEAL 2008 (IDEAL 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5326))

Abstract

We study averaging schemes that are specifically adapted to the analysis of electroencephalographic data for the purpose of interpreting temporal information from single trials. We find that a natural assumption about processing speed in the subjects yields a complex but nevertheless robust algorithm for the analysis of electrophysiological data.

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Author information

Authors and Affiliations

  1. Bernstein Center for Computational Neuroscience Göttingen, Germany

    Matthias Ihrke, Hecke Schrobsdorff & J. Michael Herrmann

  2. MPI for Dynamics and Self-Organization, Bunsenstr. 10, 37073, Göttingen, Germany

    Matthias Ihrke & Hecke Schrobsdorff

  3. Institute for Perception, Action and Behaviour, University of Edinburgh Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, U.K.

    J. Michael Herrmann

Authors
  1. Matthias Ihrke
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  2. Hecke Schrobsdorff
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  3. J. Michael Herrmann
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Editor information

Editors and Affiliations

  1. University of West Scotland, PA1 2BE, Paisley, Scotland

    Colin Fyfe

  2. KAIST, Daejeon, Korea

    Dongsup Kim

  3. Brain Science Research Center and Department of Bio & Brain Engineering, Korea Advanced Institute of Science and Technology, 373-1 Guseong-dong, Yuseong-gu, 305-701, Daejeon, Korea

    Soo-Young Lee

  4. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

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© 2008 Springer-Verlag Berlin Heidelberg

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Ihrke, M., Schrobsdorff, H., Herrmann, J.M. (2008). Compensation for Speed-of-Processing Effects in EEG-Data Analysis. In: Fyfe, C., Kim, D., Lee, SY., Yin, H. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2008. IDEAL 2008. Lecture Notes in Computer Science, vol 5326. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88906-9_45

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  • DOI: https://doi.org/10.1007/978-3-540-88906-9_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88905-2

  • Online ISBN: 978-3-540-88906-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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