Response of a Chaotic Spiking Neuron to Various Periodic Inputs and Its Potential Applications

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概要

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• In this paper a chaotic spiking neuron is presented and its response characteristics to various periodic inputs are analyzed. A return map which can analytically describe the dynamics of the neuron is derived. Using the map, it is theoretically shown that a set of neurons can encode various periodic inputs into a set of spike-trains in such a way that a spike density of a summation of the spike-trains can approximate the waveform of the input. Based on the theoretical results, some potential applications of the presented neuron are also discussed. Using a prototype circuit, typical encoding functions of the neuron are confirmed by experimental measurements.

• 2009-08-01

著者

• Torikai Hiroyuki

  Graduate School Of Engineering Science Osaka University

• NISHIGAMI Toru

  Graduate School of Engineering Science, Osaka University

• Nishigami Toru

  Graduate School Of Engineering Science Osaka University

関連論文

• Basic Characteristics and Learning Potential of a Digital Spiking Neuron(Neuron and Neural Networks,Nonlinear Theory and its Applications)
• Response of a Chaotic Spiking Neuron to Various Periodic Inputs and Its Potential Applications
• A Discrete-State Spiking Neuron Model and its Learning Potential (Expansion of Integrable Systems)
• Bifurcation-based synthesis of asynchronous cellular automaton based neuron

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