2008 Special Issue: Digital spiking neuron and its learning for approximation of various spike-trains

Authors:
Hiroyuki Torikai;Atsuo Funew;Toshimichi Saito
Affiliations:
Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, Osaka 560-8531, Japan;Hitachi Systems & Services, Ltd., Tokyo 108-8250, Japan;EECE Department, Hosei University, Tokyo 184-0002, Japan
Venue:
Neural Networks
Year:
2008

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Abstract

A digital spiking neuron is a wired system of shift registers and can generate various spike-trains by adjusting the wiring pattern. In this paper we analyze the basic relations between the wiring pattern and characteristics of the spike-train. Based on the relations, we present a learning algorithm which utilizes successive changes of the wiring pattern. It is shown that the neuron can reproduce spike-trains of another neuron which has an unknown wiring pattern. It is also shown that the neuron can approximate various spike-trains of a chaotic analog spiking neuron.