Presentation 2016-03-24
Bifurcations of exciting states of a piecewise constant neuron model
Sohei Takeda, Hiroyuki Torikai,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) A piece-wise constant neuron model is a neuron model, the major nonlinearity of which is piece-wise constant functions. Advantages of the model include that analysis of bifurcation sets of the model is relatively easy, and thus it is relatively easy to design a corresponding hardware model with desired bifurcations. In this paper, bifurcations of excited states of the model are investigated.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Border-collision bifurcation / Neuron model / Piece-wise constant vector field / Homoclinic orbit
Paper # NLP2015-145
Date of Issue 2016-03-17 (NLP)

Conference Information
Committee NLP
Conference Date 2016/3/24(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Kyoto Sangyo Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Kenya Jinno(Nippon Inst. of Tech.)
Vice Chair Naoto Fujisaka(Hiroshima City Univ.)
Secretary Naoto Fujisaka(Tokyo Univ. of Science)
Assistant Hidehiro Nakano(Tokyo City Univ.) / Hiroyuki Asahara(Okayama Univ. of Science)

Paper Information
Registration To Technical Committee on Nonlinear Problems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Bifurcations of exciting states of a piecewise constant neuron model
Sub Title (in English)
Keyword(1) Border-collision bifurcation
Keyword(2) Neuron model
Keyword(3) Piece-wise constant vector field
Keyword(4) Homoclinic orbit
1st Author's Name Sohei Takeda
1st Author's Affiliation Kyoto Sangyo University(Kyoto Sangyo Univ.)
2nd Author's Name Hiroyuki Torikai
2nd Author's Affiliation Kyoto Sangyo University(Kyoto Sangyo Univ.)
Date 2016-03-24
Paper # NLP2015-145
Volume (vol) vol.115
Number (no) NLP-515
Page pp.pp.17-21(NLP),
#Pages 5
Date of Issue 2016-03-17 (NLP)