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PubMed · 16089784

Estimating phase synchronization in dynamical systems using cellular nonlinear networks.

Robert Sowa·Anton Chernihovskyi·Florian Mormann·Klaus Lehnertz
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Abstract

We propose a method for estimating phase synchronization between time series using the parallel computing architecture of cellular nonlinear networks (CNN's). Applying this method to time series of coupled nonlinear model systems and to electroencephalographic time series from epilepsy patients, we show that an accurate approximation of the mean phase coherence R--a bivariate measure for phase synchronization--can be achieved with CNN's using polynomial-type templates.

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Action PotentialsBrainComputer SimulationElectroencephalographyEpilepsyHumansModels, NeurologicalNerve NetNeuronsNonlinear DynamicsSynaptic TransmissionJournal ArticleResearch Support, Non-U.S. Gov't

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Robert Sowa, Anton Chernihovskyi, Florian Mormann, Klaus Lehnertz. 2005-06-29. Estimating phase synchronization in dynamical systems using cellular nonlinear networks.. https://doi.org/10.1103/physreve.71.061926

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