• DocumentCode
    1488566
  • Title

    A Novel Rotate-and-Fire Digital Spiking Neuron and its Neuron-Like Bifurcations and Responses

  • Author

    Hishiki, Tetsuya ; Torikai, Hiroyuki

  • Author_Institution
    Dept. of Syst. Innovation, Osaka Univ., Toyonaka, Japan
  • Volume
    22
  • Issue
    5
  • fYear
    2011
  • fDate
    5/1/2011 12:00:00 AM
  • Firstpage
    752
  • Lastpage
    767
  • Abstract
    A novel rotate-and-fire digital spiking neuron is presented. The digital neuron is a wired system of shift registers and thus it is suited to on-chip learning unlike many other analog spiking neuron models. By adjusting the wiring pattern among the registers, the digital neuron can generate spike trains with various spike patterns and can exhibit related bifurcations. A discrete-continuous hybrid map, which describes the neuron dynamics without any approximation, is derived analytically. Using the hybrid map, it is shown that the digital spiking neuron can mimic typical bifurcation phenomena and various nonlinear responses of biological neurons.
  • Keywords
    bifurcation; learning (artificial intelligence); neural nets; shift registers; biological neurons; discrete continuous hybrid map; neuron like bifurcations; nonlinear responses; on-chip learning; rotate-and-fire digital spiking neuron; shift registers; Bifurcation; Biological system modeling; Biomembranes; Clocks; Neurons; Wiring; Bifurcation; cellular automaton; field programmable gate array; spiking neuron model; Action Potentials; Artificial Intelligence; Computer Simulation; Mathematical Computing; Mathematical Concepts; Membrane Potentials; Nervous System Physiological Phenomena; Neural Networks (Computer); Neurons; Nonlinear Dynamics; Software Validation;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/TNN.2011.2116802
  • Filename
    5742709