Comment on “Performance of different synchronization measures in real data: A case study on electroencephalographic signals”

R. B. Duckrow and A. M. Albano
Phys. Rev. E 67, 063901 – Published 23 June 2003
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Abstract

Quian Quiroga et al. [Phys. Rev. E 65, 041903 (2002)] reported a similar performance of several linear and nonlinear measures of synchronization when applied to the rat electrocorticogram (ECoG). However, they found that the mutual information measure did not produce robust estimates of synchronization when compared to other measures. We reexamined their data using a histogram method with adaptive partitioning and found the mutual information to be a useful measure of regional ECoG interdependence.

  • Received 21 November 2002

DOI:https://doi.org/10.1103/PhysRevE.67.063901

©2003 American Physical Society

Authors & Affiliations

R. B. Duckrow

  • Department of Neurology, Yale University School of Medicine, New Haven, Connecticut 06520-8018, USA

A. M. Albano

  • Department of Physics, Bryn Mawr College, Bryn Mawr, Pennsylvania 19010-2899, USA

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See Also

Original Article

Performance of different synchronization measures in real data: A case study on electroencephalographic signals

R. Quian Quiroga, A. Kraskov, T. Kreuz, and P. Grassberger
Phys. Rev. E 65, 041903 (2002)

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Vol. 67, Iss. 6 — June 2003

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