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Front. Comput. Neurosci., 22 September 2010 | http://dx.doi.org/10.3389/fncom.2010.00127

Surrogate spike train generation through dithering in operational time

  • 1 RIKEN Brain Science Institute, Wako-shi, Japan
  • 2 Department of Neuroscience, University of Pennsylvania, Philadelphia, PA, USA
  • 3 RIKEN Computational Science Research Program, Wako-shi, Japan

Detecting the excess of spike synchrony and testing its significance can not be done analytically for many types of spike trains and relies on adequate surrogate methods. The main challenge for these methods is to conserve certain features of the spike trains, the two most important being the firing rate and the inter-spike interval statistics. In this study we make use of operational time to introduce generalizations to spike dithering and propose two novel surrogate methods which conserve both features with high accuracy. Compared to earlier approaches, the methods show an improved robustness in detecting excess synchrony between spike trains.

Keywords: surrogate data, dithering, operational time, spike synchrony

Citation: Louis S, Gerstein GL, Grün S and Diesmann M (2010) Surrogate spike train generation through dithering in operational time. Front. Comput. Neurosci. 4:127. doi: 10.3389/fncom.2010.00127

Received: 15 November 2009; Paper pending published: 10 December 2009;
Accepted: 04 August 2010; Published online: 22 September 2010

Edited by:

Philipp Berens, Max-Planck-Institute for Biological Cybernetics, Germany

Reviewed by:

Zoltan Nadasdy, Seton Brain and Spine Institute, USA
Matthew Harrison, Brown University, USA

Copyright: © 2010 Louis, Gerstein, Grün and Diesmann. This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited.

*Correspondence: Markus Diesmann, RIKEN Brain Science Institute, 2-1 Hirosawa, Wako-shi, Saitama 351-0198, Japan. e-mail: diesmann@brain.riken.jp