An approach to multivariate phase synchronization analysis and its application to event-related potentials

  • A method for the multivariate analysis of statistical phase synchronization phenomena in empirical data is presented. A first statistical approach is complemented by a stochastic dynamic model, to result in a data analysis algorithm which can in a specific sense be shown to be a generic multivariate statistical phase synchronization analysis. The method is applied to EEG data from a psychological experiment, obtaining results which indicate the relevance of this method in the context of cognitive science as well as in other fields.

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Author details:Carsten AllefeldORCiDGND, Jürgen KurthsORCiDGND
Publication series (Volume number):Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (paper 069)
Publication type:Postprint
Completion year:2004
Publishing institution:Universität Potsdam
Release date:2008/09/10
Source:International Journal of Bifurcation and Chaos. - 14 (2004), 2, pp. 417 - 426. ISSN (print) 0218-1274, ISSN (online)
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik und Astronomie
DDC classification:5 Naturwissenschaften und Mathematik / 53 Physik / 530 Physik
License (German):License LogoUrheberrechtsschutz
External remark:
Electronic version of an article published as
International Journal of Bifurcation and Chaos. - 14 (2004), 2, pp. 417 - 426
ISSN (print) 0218-1274
ISSN (online) 1793-6551
DOI 10.1142/S0218127404009521
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