Revealing direction of coupling between neuronal oscillators from time series: Phase dynamics modeling versus partial directed coherence

Dmitry Smirnov, Bjoern Schelter, Matthias Winterhalder, Jens Timmer

Research output: Contribution to journalArticle

30 Citations (Scopus)

Abstract

The problem of determining directional coupling between neuronal oscillators from their time series is addressed. We compare performance of the two well-established approaches: partial directed coherence and phase dynamics modeling. They represent linear and nonlinear time series analysis techniques, respectively. In numerical experiments, we found each of them to be applicable and superior under appropriate conditions: The latter technique is superior if the observed behavior is "closer" to limit-cycle dynamics, the former is better in cases that are closer to linear stochastic processes. (c) 2007 American Institute of Physics.

Original languageEnglish
Article number013111
Number of pages11
JournalChaos
Volume17
Issue number1
Early online date13 Feb 2007
DOIs
Publication statusPublished - 2007

Cite this

Revealing direction of coupling between neuronal oscillators from time series : Phase dynamics modeling versus partial directed coherence. / Smirnov, Dmitry; Schelter, Bjoern; Winterhalder, Matthias; Timmer, Jens.

In: Chaos, Vol. 17, No. 1, 013111, 2007.

Research output: Contribution to journalArticle

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