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A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
Published on: March 25, 2014
Digital spiking neuron and its learning for approximation of various spike-trains
Hiroyuki Torikai1, Atsuo Funew, Toshimichi Saito
1Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, Osaka 560-8531, Japan. torikai@sys.es.osaka-u.ac.jp
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.
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