Nonlinear Sciences – Chaotic Dynamics
Scientific paper
2010-07-02
Nonlinear Sciences
Chaotic Dynamics
21 pages, 11 figures, to be published in Physical Review E
Scientific paper
We investigate the state space reconstruction from multiple time series derived from continuous and discrete systems and propose a method for building embedding vectors progressively using information measure criteria regarding past, current and future states. The embedding scheme can be adapted for different purposes, such as mixed modelling, cross-prediction and Granger causality. In particular we apply this method in order to detect and evaluate information transfer in coupled systems. As a practical application, we investigate in records of scalp epileptic EEG the information flow across brain areas.
Kugiumtzis Dimitris
Vlachos Ioannis
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