• DocumentCode
    2048976
  • Title

    A neural mechanism of hyperaccurate detection of phase advance and delay in electrosensory system of weakly electric fish

  • Author

    Kashimori, Y. ; Kambara, Takoshi

  • Author_Institution
    Dept. of Appl. Phys. & Chem., Univ. of Electro-Commun., Tokyo, Japan
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    453
  • Abstract
    Weakly electric fish, Eigenmannia, can detect the time difference of the order of 1 μsec between a jamming signal and its own signal. To clarify the neural mechanism of the hyperaccurate detection of time difference, we proposed a cellular model of a single neuron and a network model for detection of phase advances and delays. The single neuron model can detect the time difference of the order of tens μ sec. A single layer network consisting of the neuron model detects the phase advance and delay up to 60 μ sec. The multilayer network model obtains a detection ability up to 20 μ by superimposing the outputs of multilayers induced by the signals with noises of optimal intensity
  • Keywords
    bioelectric phenomena; biology computing; neural nets; temporal reasoning; zoology; Eigenmannia; cellular model; detection ability; electrosensory system; hyperaccurate detection; jamming signal; multilayer network model; network model; neural mechanism; optimal intensity noise; phase advance; phase advances; single layer network; single neuron model; time difference; weakly electric fish; Brain modeling; Cellular neural networks; Delay effects; Delay systems; Jamming; Marine animals; Neurons; Phase detection; Physics; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
  • Conference_Location
    Perth, WA
  • Print_ISBN
    0-7803-5871-6
  • Type

    conf

  • DOI
    10.1109/ICONIP.1999.845637
  • Filename
    845637