Comment on "Performance of Different Synchronization Measures in Real Data: A Case Study on Electroencephalographic Signals"

Authors

R. B. Duckrow
Alfonso M. Albano, Bryn Mawr CollegeFollow

Document Type

Letter to the Editor

Version

Publisher's PDF

Publication Title

Physical Review E

Volume

67

Publication Date

6-2003

Abstract

Quian Quiroga [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.

Publisher's Statement

© 2003 by the American Physical Society. The publisher's version of the article can be found at http://link.aps.org/doi/10.1103/PhysRevE.67.063901.

Citation

R.B. Duckrow and A.M. Albano, Phys. Rev. E 67, 63901 (2003).

DOI

10.1103/PhysRevE.67.063901