• DocumentCode
    2831650
  • Title

    Temporal models for neural nets for integrated circuit implementations

  • Author

    Salam, Fathi M A

  • Author_Institution
    Dept. of Electr. Eng., Michigan State Univ., East Lansing, MI, USA
  • fYear
    1991
  • fDate
    11-14 Jun 1991
  • Abstract
    Summary form only given. The possibility of proposing models that have temporal characteristics with a view toward electronic circuit implementation is investigated. Similar to the Hodgkin-Huxley membrane model, a model using Josephson junction circuits can be developed. The advantage of the Josephson junction model lies in its high speed and low power dissipation properties. In addition, such a model would have rich temporal dynamical behavior and is suitable for large scale implementation
  • Keywords
    Josephson effect; neural nets; superconducting integrated circuits; Josephson junction circuits; integrated circuit implementations; large scale implementation; neural nets; power dissipation; speed; temporal characteristics; temporal dynamical behavior; Artificial neural networks; Biological neural networks; Biological system modeling; Biomembranes; High temperature superconductors; Integrated circuit modeling; Josephson junctions; Neural networks; Power system modeling; Semiconductor device modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1991., IEEE International Sympoisum on
  • Print_ISBN
    0-7803-0050-5
  • Type

    conf

  • DOI
    10.1109/ISCAS.1991.176648
  • Filename
    176648