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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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Metadaten
Author details:Carsten AllefeldORCiDGND, Jürgen KurthsORCiDGND
ISSN:0218-1274
Publication type:Article
Language:English
Year of first publication:2004
Publication year:2004
Release date:2017/03/24
Source:International Journal of Bifurcation and Chaos. - ISSN 0218-1274. - 14 (2004), 2, S. 417 - 426
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik und Astronomie
Peer review:Referiert
Institution name at the time of the publication:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik
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