シナプス結合ニューロンモデルの分岐解析
Bibliographic Information
- Other Title
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- シナプス ケツゴウ ニューロン モデル ノ ブンキ カイセキ
- Bifurcation analysis of synaptically coupled neuronal model
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Description
We investigate bifurcations of periodic solutions in model equations of neurons coupled through the characteristics of synaptic transmissions with a time delay. The model can be considered as a dynamical system whose solution includes jumps depending on a condition related to the behavior of the trajectory. Although the solution is discontinuous, we can define the Poincare map as a synthesis of successive submaps, and give its derivatives for obtaining periodic points and their bifurcations.Using our proposed method, we clarify mechanisms of bifurcations among synchronized oscillations with phase-locking patterns by analyzing periodic solutions observed in a model of coupled Hodgkin-Huxley equations. Moreover we illustrate a mechanism of the generation of chaotic itinerancy or the phenomenon of chaotic transitions among several quasi-stable states, which corresponds to associative dynamics or memory searching process in real neurons, by the analysis of four-coupled Bonhoffer-van der Pol equations.
Journal
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- 四国医学雑誌
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四国医学雑誌 59 (4-5), 228-234, 2003-10-25
徳島医学会
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Details 詳細情報について
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- CRID
- 1050583647830747136
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- NII Article ID
- 120006364558
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- NII Book ID
- AN00102041
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- ISSN
- 00373699
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- Article Type
- journal article
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- Data Source
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- IRDB
- CiNii Articles