Multifractal statistics and underlying kinetics of neuron spiking time-series

A. Bershadskii, E. Dremencov, D. Fukayama, G. Yadid

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Probabilistic and multifractal properties of spiking time-series obtained in vivo from singular neurons belonging to red nucleus of the rat brain are analyzed. Lognormal and "-1" power-law probability distributions of interspike intervals are observed for healthy and for genetically depressive rats, respectively. A simple thermodynamic model is elaborated to interpret obtained results. Investigation of long-range interspike correlations (both probabilistic and multifractal) gives indications that the genetically defined depression is related to individual neurons kinetic problems rather than to the brain system disorder.

Original languageEnglish
Pages (from-to)337-342
Number of pages6
JournalPhysics Letters, Section A: General, Atomic and Solid State Physics
Volume289
Issue number6
DOIs
StatePublished - 29 Oct 2001

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