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Compensation for speed-of-processing effects in EEG-data analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2008) 5326 LNCS 354-361
DOI: 10.1007/978-3-540-88906-9_45
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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. © 2008 Springer 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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5326 LNCS, pp. 354–361). Springer Verlag. https://doi.org/10.1007/978-3-540-88906-9_45

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