• DocumentCode
    1555646
  • Title

    Analogue VLSI Morris-Lecar neuron

  • Author

    Patel, G.N. ; DeWeerth, S.P.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    33
  • Issue
    12
  • fYear
    1997
  • fDate
    6/5/1997 12:00:00 AM
  • Firstpage
    997
  • Lastpage
    998
  • Abstract
    The authors have developed a silicon neuron that exhibits properties similar to those of the Morris-Lecar neuron. The Morris-Lecar model is a two-state mathematical model that possesses physiological properties similar to those of actual neurons. The circuit behaviour is analysed, based on the geometry of nullclines in state space and analytical results are compared with experimental data for a circuit implemented in a 2 μm n-well process
  • Keywords
    VLSI; analogue integrated circuits; analogue processing circuits; elemental semiconductors; neural chips; silicon; 2 micron; Morris-Lecar neuron; Si; Si neuron; analogue VLSI chip; n-well process; physiological properties; two-state mathematical model;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19970686
  • Filename
    588396
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1555646