TY  - JOUR
A1  - Allefeld, Carsten
A1  - Kurths, Jürgen
T1  - Testing for phase synchronization
N2  - We present different tests for phase synchronization which improve the procedures currently used in the literature. This is accomplished by using a two-sample test setup and by utilizing insights and methods from directional statistics and bootstrap theory. The tests differ in the generality of the situation in which they can be applied as well as in their complexity, including computational cost. A modification of the resampling technique of the bootstrap is introduced, making it possible to fully utilize data from time series
Y1  - 2004
SN  - 0218-1274
ER  - 
TY  - JOUR
A1  - Allefeld, Carsten
T1  - Phase vs. amplitude correlations in event-related potentials
Y1  - 2005
SN  - 0898-929X
ER  - 
TY  - JOUR
A1  - Allefeld, Carsten
A1  - Frisch, Stefan
A1  - Schlesewsky, Matthias
T1  - Detection of early cognitive processing by event-related phase synchronization analysis
N2  - In order to investigate the temporal characteristics of cognitive processing, we apply multivariate phase synchronization analysis to event-related potentials. The experimental design combines a semantic incongruity in a sentence context with a physical mismatch (color change). In the ERP average, these result in an N400 component and a P300-like positivity, respectively. Synchronization analysis shows an effect of global desynchronization in the theta band around 288 ms after stimulus presentation for the semantic incongruity, while the physical mismatch elicits an increase of global synchronization in the alpha band around 204 ms. Both of these effects clearly precede those in the ERP aver-age. Moreover, the delay between synchronization effect and ERP component correlates with the complexity Of the cognitive processes. (C) 2005 Lippincott Williams Wilkins
Y1  - 2005
SN  - 0959-4965
ER  - 
TY  - JOUR
A1  - Allefeld, Carsten
A1  - Kurths, Jürgen
T1  - An approach to multivariate phase synchronization analysis and its application to event-related potentials
N2  - 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
Y1  - 2004
SN  - 0218-1274
ER  -