Physics – Data Analysis – Statistics and Probability
Scientific paper
2005-06-13
Physics
Data Analysis, Statistics and Probability
22 pages, 7 figures, the paper is to be published in Chaos, 2005, vol.15, issue 2, see http://chaos.aip.org/
Scientific paper
10.1063/1.1938487
We demonstrate in numerical experiments that estimators of strength and directionality of coupling between oscillators based on modeling of their phase dynamics [D.A. Smirnov and B.P. Bezruchko, Phys. Rev. E 68, 046209 (2003)] are widely applicable. Namely, although the expressions for the estimators and their confidence bands are derived for linear uncoupled oscillators under the influence of independent sources of Gaussian white noise, they turn out to allow reliable characterization of coupling from relatively short time series for different properties of noise, significant phase nonlinearity of the oscillators, and non-vanishing coupling between them. We apply the estimators to analyze a two-channel human intracranial epileptic electroencephalogram (EEG) recording with the purpose of epileptic focus localization.
Bezruchko B. P.
Bodrov M. B.
Perez Velazquez J. L.
Smirnov Dmitry A.
Wennberg R. A.
No associations
LandOfFree
Estimation of coupling between oscillators from short time series via phase dynamics modeling: limitations and application to EEG data does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Estimation of coupling between oscillators from short time series via phase dynamics modeling: limitations and application to EEG data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Estimation of coupling between oscillators from short time series via phase dynamics modeling: limitations and application to EEG data will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-649778