Symbolic Transfer Entropy

Matthäus Staniek and Klaus Lehnertz
Phys. Rev. Lett. 100, 158101 – Published 14 April 2008

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.

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  • Received 21 January 2008

DOI:https://doi.org/10.1103/PhysRevLett.100.158101

©2008 American Physical Society

Authors & Affiliations

Matthäus Staniek1,2,* and Klaus Lehnertz1,2,3,†

  • 1Department of Epileptology, Neurophysics Group, University of Bonn, Sigmund-Freud-Strasse 25, D-53105 Bonn, Germany
  • 2Helmholtz-Institute for Radiation and Nuclear Physics, University of Bonn, Nussallee 14-16, 53115 Bonn, Germany
  • 3Interdisciplinary Center for Complex Systems, University of Bonn, Römerstrasse 164, 53117 Bonn, Germany

  • *mattstan@gmx.de
  • klaus.lehnertz@ukb.uni-bonn.de

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Issue

Vol. 100, Iss. 15 — 18 April 2008

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