Analysis of digital spike maps based on bifurcating neurons

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概要

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• This paper studies digital spike maps that can generate various periodic spike-trains. In order to analyze the dynamics, we consider two measures that are basic to characterize the number of periodic spike-trains and their domain of attraction. As a typical example, we consider a map based on discretized bifurcating neurons. Applying a simple calculation algorithm, we can show that the map can exhibit rich periodic spike-trains as a parameter vary.

著者

• Saito Toshimichi

  Dept. HOSEI University

• Horimoto Narutoshi

  Dept. of Electrical and Electronics Engineering, Hosei University

関連論文

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• Application of particle swarm optimization to parameter search in dynamical systems
• Analysis of digital spike maps based on bifurcating neurons

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