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Reply to "Comment on `Performance of different synchronization measures in real data: A case study on electroencephalographic signals'"

Quian Quiroga, R. and Kraskov, A. and Grassberger, P. (2005) Reply to "Comment on `Performance of different synchronization measures in real data: A case study on electroencephalographic signals'". Physical Review E, 72 (6). Art. No. 063902. ISSN 1539-3755. http://resolver.caltech.edu/CaltechAUTHORS:QUIpre05

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Abstract

We agree with the Comment by Nicolaou and Nasuto about the utility of mutual information (MI) when properly estimated and we also concur with their view that the estimation based on k nearest neighbors gives optimal results. However, we claim that embedding parameters can indeed change MI results, as we show for the electroencephalogram data sets of our original study and for coupled chaotic systems. Furthermore, we show that proper embedding can actually improve the estimation of MI with the k nearest neighbors algorithm.


Item Type:Article
Additional Information:©2005 The American Physical Society. (Received 28 September 2005; published 13 December 2005)
Subject Keywords:electroencephalography; neurophysiology; bioelectric phenomena; chaos; synchronization
Record Number:CaltechAUTHORS:QUIpre05
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:QUIpre05
Alternative URL:http://dx.doi.org/10.1103/PhysRevE.72.063902
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:10185
Collection:CaltechAUTHORS
Deposited By: Archive Administrator
Deposited On:16 Apr 2008
Last Modified:11 Nov 2013 22:23

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