A measure of local variation of inter-spike intervals

Shigeru Shinomoto; Keiji Miura; Shinsuke Koyama

doi:10.1016/j.biosystems.2004.09.023

A measure of local variation of inter-spike intervals

Shigeru Shinomoto, Keiji Miura, Shinsuke Koyama

INF - Applied Information Sciences

Research output: Contribution to journal › Article › peer-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 language	English
Pages (from-to)	67-72
Number of pages	6
Journal	BioSystems
Volume	79
Issue number	1-3 SPEC. ISS.
DOIs	https://doi.org/10.1016/j.biosystems.2004.09.023
Publication status	Published - 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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