Presentation 2005/3/23
Statistical analysis of interspike interval sequences of Class I and Class II neurons
Ryosuke HOSAKA, Yutaka SAKAI, Tohru IKEGUCHI, Shuji YOSHIZAWA,
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Abstract(in English) We investigated statistical characteristics of spike sequences of Class-I and II neurons by two statistical coefficients ; coefficient of variation and skewness coefficient. We used the Morris-Lecar model and the Hindmarsh-Rose model because the models can exhibit both properties of Class-I and II neurons by operating their parameters. The models are stimulated by uncorrelated fluctuations. In spite of the fact that the Class-II Morris-Lecar model and the Class-II Hindmarsh-Rose model belong to the same class, the two models exhibit different property in the space of the two statistical coefficients. Our results also show that the difference is related to different behavior after spiking ; While the Class-II ML model shows damping oscillations, the Class-II HR model shows self-sustained oscillations.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Interspike interval statistics / the Morris-Lecar model / Hindmarsh-Rose model / Class-I / Class-II
Paper # NC2004-206
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Committee NC
Conference Date 2005/3/23(1days)
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Registration To Neurocomputing (NC)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Statistical analysis of interspike interval sequences of Class I and Class II neurons
Sub Title (in English)
Keyword(1) Interspike interval statistics
Keyword(2) the Morris-Lecar model
Keyword(3) Hindmarsh-Rose model
Keyword(4) Class-I
Keyword(5) Class-II
1st Author's Name Ryosuke HOSAKA
1st Author's Affiliation Graduate school fo Science and Engineering, Saitama University()
2nd Author's Name Yutaka SAKAI
2nd Author's Affiliation Faculty of Engineering, Tamagawa University
3rd Author's Name Tohru IKEGUCHI
3rd Author's Affiliation Graduate school fo Science and Engineering, Saitama University
4th Author's Name Shuji YOSHIZAWA
4th Author's Affiliation Tamagawa University Research Institute
Date 2005/3/23
Paper # NC2004-206
Volume (vol) vol.104
Number (no) 760
Page pp.pp.-
#Pages 6
Date of Issue