• DocumentCode
    3421918
  • Title

    A BiCMOS implementation of the Hodgkin-Huxley formalism

  • Author

    Dupeyron, D. ; Le Masson, S. ; Deval, Y. ; Le Masson, G. ; Dom, J.P.

  • Author_Institution
    CNRS, Bordeaux I Univ., Talence, France
  • fYear
    1996
  • fDate
    12-14 Feb 1996
  • Firstpage
    311
  • Lastpage
    316
  • Abstract
    This paper presents an analog design of a biologically inspired neuron model: the conductance-based Hodgkin-Huxley formalism. After a description of the model equations set, the corresponding subcircuits are detailed. ASICs were fabricated in a 2 μm BiCMOS technology, and have a block structure allowing the constitution of complex cells or small networks. As an application, numerical and analog computations of the action potentials are compared, and the effects of some model parameters modifications are shown
  • Keywords
    BiCMOS analogue integrated circuits; analogue processing circuits; application specific integrated circuits; equivalent circuits; neural chips; 2 micron; ASICs; BiCMOS implementation; Hodgkin-Huxley formalism; action potentials; analog computations; analog design; biologically inspired neuron model; block structure; conductance-based formalism; model parameters modifications; numerical computations; Analog computers; BiCMOS integrated circuits; Biological system modeling; Biology computing; Biomembranes; Integrated circuit modeling; Neural networks; Neurons; Nonlinear equations; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microelectronics for Neural Networks, 1996., Proceedings of Fifth International Conference on
  • Conference_Location
    Lausanne
  • ISSN
    1086-1947
  • Print_ISBN
    0-8186-7373-7
  • Type

    conf

  • DOI
    10.1109/MNNFS.1996.493808
  • Filename
    493808