Bifurcation-based synthesis of asynchronous cellular automaton based neuron

スポンサーリンク

概要

• 論文の詳細を見る

• A spiking neuron model described by an asynchronous cellular automaton is introduced. Our model can be implemented as an asynchronous sequential logic circuit and its control parameter is adjustable after implementation in an FPGA. It is shown that our model can reproduce twenty types of dynamic response behaviors observed in biological and other model neurons. It is also shown that our model can reproduce the features of four groups into which biological and other model neurons are classified. In addition, underlying bifurcations of the four groups are analyzed, and the results yield basic guides to the synthesis of our model.

著者

• Torikai Hiroyuki

  Graduate School Of Engineering Science Osaka University

• TORIKAI Hiroyuki

  Graduate School of Engineering Science, Osaka University

• Matsubara Takashi

  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

スポンサーリンク