Ghost Stochastic Resonance From an Asynchronous Cellular Automaton Neuron Model

被引：27
|
作者：
Noguchi, Takuya [1 ]
Torikai, Hiroyuki [1 ]
机构：
[1] Osaka Univ, Grad Sch Engn Sci, Osaka 5608531, Japan
来源：
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2013年 / 60卷 / 02期
关键词：
Asynchronous cellular automaton (CA); electronic circuit neuron model; ghost stochastic resonance (GSR); pitch extraction; DIGITAL SPIKING NEURON; BIFURCATIONS; RESPONSES; MECHANISM;
D O I：
10.1109/TCSII.2012.2235015
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A novel electronic circuit neuron model whose nonlinear dynamics is described by an asynchronous cellular automaton is proposed. The model exhibits a so-called ghost stochastic resonance, which is suggested to be utilized in a nonlinear pitch extraction function in a biological auditory system. It is shown that, by tuning parameters, characteristics of the resonance can be enhanced so that it is suited to the pitch extraction function. Also, field programmable gate array (FPGA) experiments validate occurrences of the resonance and realization of the pitch extraction function.
引用
收藏
页码：111 / 115
页数：5
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