• 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