A Self-Organizing Pulse-Coupled Network of Sub-Threshold Oscillating Spiking Neurons

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概要

• 論文の詳細を見る

• In this paper, an artificial sub-threshold oscillating spiking neuron is presented and its response phenomena to an input spike-train are analyzed. In addition, a dynamic parameter update rule of the neuron for achieving synchronizations to the input spike-train having various spike frequencies is presented. Using an analytical two-dimensional return map, local stability of the parameter update rule is analyzed. Furthermore, a pulse-coupled network of the neurons is presented and its basic self-organizing function is analyzed. Fundamental comparisons are also presented.

• （社）電子情報通信学会の論文
• 2011-01-01

著者

• TORIKAI Hiroyuki

  Dept. of Systems Innovation, Grad. school of Engineering Science, Osaka University

• Kinoshita Kai

  Dept. Of Systems Innovation Grad. School Of Engineering Science Osaka University

• Torikai Hiroyuki

  Dept. Of Systems Innovation Grad. School Of Engineering Science Osaka University

関連論文

• A Self-Organizing Pulse-Coupled Network of Sub-Threshold Oscillating Spiking Neurons
• A Self-Organizing Pulse-Coupled Network of Sub-Threshold Oscillating Spiking Neurons
• Analysis of m:n Lockings from Pulse-Coupled Asynchronous Sequential Logic Spiking Neurons

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