DocumentCode
84344
Title
Ghost Stochastic Resonance From an Asynchronous Cellular Automaton Neuron Model
Author
Noguchi, Takashi ; Torikai, Hiroyuki
Author_Institution
Grad. Sch. of Eng. Sci., Osaka Univ., Toyonaka, Japan
Volume
60
Issue
2
fYear
2013
fDate
Feb. 2013
Firstpage
111
Lastpage
115
Abstract
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.
Keywords
asynchronous circuits; cellular neural nets; circuit tuning; field programmable gate arrays; FPGA; asynchronous cellular automaton neuron model; biological auditory system; electronic circuit neuron model; field programmable gate array; ghost stochastic resonance; nonlinear dynamics description; nonlinear pitch extraction function; tuning parameter; Frequency modulation; Histograms; Integrated circuit modeling; Neurons; Noise; Registers; Stochastic resonance; Asynchronous cellular automaton (CA); electronic circuit neuron model; ghost stochastic resonance (GSR); pitch extraction;
fLanguage
English
Journal_Title
Circuits and Systems II: Express Briefs, IEEE Transactions on
Publisher
ieee
ISSN
1549-7747
Type
jour
DOI
10.1109/TCSII.2012.2235015
Filename
6475993
Link To Document