Multivariate Phase Synchronization Analysis of EEG Data(Nonlinear Signal Processing and Coding)(<Special Section>Nonlinear Theory and its Applications)

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概要

• 論文の詳細を見る

• A method for a genuinely multivariate analysis of statistical phase synchronization phenomena in empirical data is presented. It is applied to EEG data from a psychological experiment, obtaining results which indicate a possible relevance of this method in the context of cognitive science as well as in other fields.

• 社団法人電子情報通信学会の論文
• 2003-09-01

著者

• Kurths Jurgen

  Nonlinear Dynamics Institute Of Physics University Of Potsdam

• Kurths Jurgen

  Nonlinear Dynamics Group Institute Of Physics And Research Group "conflicting Rules " Univ

• ALLEFELD Carsten

  Nonlinear Dynamics Group, Institute of Physics, and Research Group "Conflicting Rules," University o

• Allefeld Carsten

  Nonlinear Dynamics Group Institute Of Physics And Research Group "conflicting Rules " Univ

関連論文

• Multivariate Phase Synchronization Analysis of EEG Data(Nonlinear Signal Processing and Coding)(Nonlinear Theory and its Applications)
• Predicting Phase Synchronization from Non-Synchronized Chaotic Data

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