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Phys Rev Lett. 2008 Apr 18;100(15):158101. Epub 2008 Apr 14.

Symbolic transfer entropy.

Author information

1
Department of Epileptology, Neurophysics Group, University of Bonn, Sigmund-Freud-Strasse 25, Bonn, Germany. mattstan@gmx.de

Abstract

We propose to estimate transfer entropy using a technique of symbolization. We demonstrate numerically that symbolic transfer entropy is a robust and computationally fast method to quantify the dominating direction of information flow between time series from structurally identical and nonidentical coupled systems. Analyzing multiday, multichannel electroencephalographic recordings from 15 epilepsy patients our approach allowed us to reliably identify the hemisphere containing the epileptic focus without observing actual seizure activity.

PMID:
18518155
DOI:
10.1103/PhysRevLett.100.158101
[Indexed for MEDLINE]

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