Summary
International Symposium on Nonlinear Theory and its Applications
2009
Session Number:A1L-D
Session:
Number:A1L-D1
Basic Coding Functions of Paralleled Chaotic Spiking Neurons
Hiroyuki Torikai, Toru Nishigami,
pp.-
Publication Date:2009/10/18
Online ISSN:2188-5079
Summary:
In this paper we investigate an artificial spiking neuron model inspired by the mammalian spiral ganglion cell. It is shown, by numerical analysis and SPICE simulations, that a set of paralleled N neurons can encode an analog input signal in such a way that (1) a spike histogram of summation of the N spike-trains can mimic waveform of the analog input, (2) the spike-trains do not synchronize to each other and thus the summed spike-train can have higher sampling rate, and (3) firing rates of the neurons can be adjusted by internal parameters.