• DocumentCode
    3268486
  • Title

    Circuit implementation of FitzHugh-Nagumo neuron model using Field Programmable Analog Arrays

  • Author

    Zhao, Jun ; Kim, Yong-Bin

  • Author_Institution
    Northeastern Univ., Boston
  • fYear
    2007
  • fDate
    5-8 Aug. 2007
  • Firstpage
    772
  • Lastpage
    775
  • Abstract
    A simple neuron model, the FitzHugh-Nagumo (FHN) model, is implemented on field programmable analog arrays (FPAAs). The differential equations of the model is integrated by making arithmetic operations on the reconfigurable voltage model circuits of the FPAAs. The simulation and implementation results demonstrate that FPAA is the viable candidate for the neuron hardware implementation in real time or many orders of magnitude faster.
  • Keywords
    differential equations; field programmable analogue arrays; neural chips; FPAA; FitzHugh-Nagumo neuron model; arithmetic operations; differential equations; field programmable analog arrays; neuron hardware implementation; reconfigurable voltage model circuits; Analog computers; Biological system modeling; Biomembranes; Circuits; Computational modeling; Field programmable analog arrays; Hardware; Neurons; Power engineering computing; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2007. MWSCAS 2007. 50th Midwest Symposium on
  • Conference_Location
    Montreal, Que.
  • ISSN
    1548-3746
  • Print_ISBN
    978-1-4244-1175-7
  • Electronic_ISBN
    1548-3746
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2007.4488691
  • Filename
    4488691
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3268486