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.
Author details: | Carsten AllefeldORCiDGND, Jürgen KurthsORCiDGND |
---|---|
URN: | urn:nbn:de:kobv:517-opus-20106 |
Publication series (Volume number): | Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (paper 069) |
Publication type: | Postprint |
Language: | English |
Publication 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): | Keine öffentliche Lizenz: Unter Urheberrechtsschutz |
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 © World Scientific Publishing Company |