• DocumentCode
    799367
  • Title

    A MOSFET-based model of a class 2 nerve membrane

  • Author

    Kohno, Takashi ; Aihara, Kazuyuki

  • Author_Institution
    ERATO Aihara Complexity Modeling Project, Tokyo, Japan
  • Volume
    16
  • Issue
    3
  • fYear
    2005
  • fDate
    5/1/2005 12:00:00 AM
  • Firstpage
    754
  • Lastpage
    773
  • Abstract
    We have constructed a nerve membrane using MOSFET circuitry, which can be a basic element of an FET-based neural system. Its mechanism of action potentials generation is designed to reproduce that of the Hodgkin-Huxley equations. The responses to singlet, doublet, repetitive pulse, and sustained stimuli are analyzed to show that it exhibits similar properties to the Hodgkin-Huxley equations; namely, 1) excitable dynamics with generation of action potentials, 2) the existence of a chaotic response to periodic stimuli, and 3) Class 2 excitability. It is known that Class 2 excitability is generated by an inverted Hopf bifurcation. We have applied Hopf bifurcation theory to our nerve membrane´s system equations and have shown a routine for ascertaining whether a certain parameter set generates an inverted Hopf bifurcation.
  • Keywords
    MOSFET; MOSFET circuits; bifurcation; biomembranes; field effect integrated circuits; neural nets; FET neural system; Hodgkin-Huxley equation; MOSFET circuitry; class 2 excitability; class 2 nerve membrane; inverted Hopf bifurcation; Bifurcation; Biomembranes; Chaos; Equations; MOSFET circuits; Mathematical model; Neurons; Permeability; Semiconductor device modeling; Silicon; Class 2 neurons; Hodgkin–Huxley equations; Hopf bifurcation; MOSFET circuits; Silicon nerve membrane; neuromorphic engineering; phase plane analysis; silicon neuron; Action Potentials; Biomimetics; Cell Membrane; Computer Simulation; Membrane Potentials; Models, Neurological; Neurons; Transistors;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/TNN.2005.844855
  • Filename
    1427777