• DocumentCode
    1327377
  • Title

    A Novel PWC Spiking Neuron Model: Neuron-Like Bifurcation Scenarios and Responses

  • Author

    Yamashita, Yutaro ; Torikai, Hiroyuki

  • Author_Institution
    Grad. Sch. of Eng. Sci., Osaka Univ., Toyonaka, Japan
  • Volume
    59
  • Issue
    11
  • fYear
    2012
  • Firstpage
    2678
  • Lastpage
    2691
  • Abstract
    A novel electrical circuit spiking neuron model that has a piece-wise-constant vector field with a state-dependent reset is presented. It is shown that the model exhibits six kinds of border-collision bifurcations, where their bifurcation sets are derived and are summarized into two parameter diagrams. Then, using the diagrams, systematic synthesis procedures of the presented model so that it can reproduce four kinds of bifurcation scenarios that are typically observed in standard neuron models are presented. It is shown that the model can reproduce the bifurcation scenarios as well as corresponding nonlinear response characteristics observed in model and biological neurons. Occurrences of typical neuron-like bifurcations are confirmed by experimental measurements.
  • Keywords
    bifurcation; neural nets; piecewise constant techniques; PWC spiking neuron model; bifurcation sets; biological neurons; border-collision bifurcations; electrical circuit spiking neuron model; neuron-like bifurcation scenarios; nonlinear response characteristics; parameter diagrams; piecewise-constant vector field; standard neuron models; state-dependent reset; systematic synthesis procedures; typical neuron-like bifurcations; Bifurcation; Biological system modeling; Integrated circuit modeling; Mathematical model; Neurons; Oscillators; Vectors; Bifurcation; VLSI neuron; piece-wise constant vector field; spiking neuron model;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems I: Regular Papers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1549-8328
  • Type

    jour

  • DOI
    10.1109/TCSI.2012.2190651
  • Filename
    6339099