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

Ryosuke Hosaka, Yutaka Sakai, Ibhru Ikeguchi, Shuji Yoshizawa

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルComputational Science and Its Applications - ICCSA 2006
ホスト出版物のサブタイトルInternational Conference, Proceedings - Part I
出版社Springer Verlag
ページ596-604
ページ数9
ISBN(印刷版)354034070X, 9783540340706
DOI
出版ステータスPublished - 2006
外部発表はい
イベントICCSA 2006: International Conference on Computational Science and Its Applications - Glasgow, United Kingdom
継続期間: 2006 5月 82006 5月 11

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3980 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

ConferenceICCSA 2006: International Conference on Computational Science and Its Applications
国/地域United Kingdom
CityGlasgow
Period06/5/806/5/11

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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