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Comment on "Performance of different synchronization measures in real data: a case study on electroencephalographic
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|October 26, 2005
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.

