A measure of local variation of inter-spike intervals

Shigeru Shinomoto, Keiji Miura, Shinsuke Koyama

Research output: Contribution to journalArticlepeer-review

49 Citations (Scopus)

Abstract

It has been revealed in our recent study that cortical neurons are categorized into distinct types, according to a new measure of the local variation of inter-spike intervals, L V. In this paper, we obtain values of the local variation L V and a conventional coefficient of variation C V for a variety of model point processes. While the value of C V undergoes large changes by rate fluctuation of the point processes, the value of L V does not undergo large changes by rate fluctuation, and is principally determined by the form of intrinsic interval distribution of the original model point process.

Original languageEnglish
Pages (from-to)67-72
Number of pages6
JournalBioSystems
Volume79
Issue number1-3 SPEC. ISS.
DOIs
Publication statusPublished - 2005 Jan 1

Keywords

  • A measure of local variation
  • Neuronal types
  • Spiking characteristics

ASJC Scopus subject areas

  • Statistics and Probability
  • Modelling and Simulation
  • Biochemistry, Genetics and Molecular Biology(all)
  • Applied Mathematics

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