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.

Download full text files

Export metadata

  • Export Bibtex
  • Export RIS
  • Export XML

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Carsten Allefeld, Jürgen Kurths
URN:urn:nbn:de:kobv:517-opus-20106
Series (Serial Number):Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe, ISSN 1866-8372 (paper 069)
Document Type:Postprint
Language:English
Date of Publication (online):2008/09/10
Year of Completion: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
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 53 Physik / 530 Physik
Licence (German):License LogoKeine Nutzungslizenz vergeben - es gilt das deutsche Urheberrecht
Notes extern:
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
© World Scientific Publishing Company