Different responses of two types of Class II neurons for fluctuated inputs

Ryosuke Hosaka, Yutaka Sakai, Ibhru Ikeguchi, Shuji Yoshizawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We investigated the statistical characteristics of spike sequences of two types of Class II neurons, neurons with subcritical or supercritical Hopf bifurcations, with uncorrelated fluctuation inputs by two statistical coefficients; coefficient of variation and skewness coefficient. We used the Morris-Lecar model and the Hindmarsh-Rose model as neuron models. As a result, even if the models belong to the same class, the interspike interval statistics exhibit different characteristics. We also discovered that the origin of the differences comes from a precise bifurcation structure, and the differences also affect the relationship on variation of input and variation of output. The results indicate that we have to introduce at least three classes by its bifurcation types to classify the neurons.

Original languageEnglish
Title of host publicationComputational Science and Its Applications - ICCSA 2006
Subtitle of host publicationInternational Conference, Proceedings - Part I
PublisherSpringer Verlag
Pages596-604
Number of pages9
ISBN (Print)354034070X, 9783540340706
DOIs
Publication statusPublished - 2006
Externally publishedYes
EventICCSA 2006: International Conference on Computational Science and Its Applications - Glasgow, United Kingdom
Duration: 2006 May 82006 May 11

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3980 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceICCSA 2006: International Conference on Computational Science and Its Applications
Country/TerritoryUnited Kingdom
CityGlasgow
Period06/5/806/5/11

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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