Simulation of Stochastic Point Processes with Defined Properties

Part of the Springer Series in Computational Neuroscience book series (NEUROSCI, volume 7)

Abstract

We describe procedures that allow one to numerically simulate artificial spike trains matching real spike trains with respect to interspike interval distributions, in particular firing rates, interspike interval irregularity, and spike-count variability, and also time-varying firing rates and the corresponding properties in the nonstationary case.

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Bernstein Center FreiburgAlbert-Ludwig UniversityFreiburgGermany
  2. 2.Bernstein Center Freiburg & Faculty of BiologyAlbert-Ludwig UniversityFreiburgGermany

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