• DocumentCode
    288635
  • Title

    On the realization of a Q-state neuron

  • Author

    Kothari, Ravi ; Cahay, Marc ; Qian, Gang

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Cincinnati Univ., OH, USA
  • Volume
    4
  • fYear
    1994
  • fDate
    27 Jun-2 Jul 1994
  • Firstpage
    2089
  • Abstract
    Q-state associative memories find use in color or gray scale image processing where each pixel can assume one of Q different intensities. In this paper, the authors present the realization of a Q-state neuron, for use in such memories, using a radio frequency driven superconducting Wheatstone bridge. The Q-states are obtained in the form of Shapiro steps observed in the transverse voltage of such bridges for large values of DC biasing currents. If low temperature semiconductors are used variable synapses can be realized using superconducting field effect transistors whose normal resistance and supercurrent vary with the applied gate voltage. Wheatstone bridges made of cuprate superconductors with synapses consisting of flux flow transistors or DC-SQUIDs could be used for neural chip operation at 77 K. Low power dissipation makes the proposed neuron implementation attractive for use in the fabrication of large scale neural circuits
  • Keywords
    associative processing; bridge circuits; content-addressable storage; field effect transistors; image processing; neural chips; superconducting integrated circuits; superconducting transistors; 77 K; DC biasing currents; DC-SQUIDs; Q-state associative memories; Q-state neuron; Shapiro steps; cuprate superconductors; flux flow transistors; large scale neural circuits; low temperature semiconductors; neural chip operation; radio frequency driven superconducting Wheatstone bridge; superconducting field effect transistors; variable synapses; Associative memory; Bridge circuits; Color; FETs; Image processing; Neurons; Pixel; Radio frequency; Temperature; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1901-X
  • Type

    conf

  • DOI
    10.1109/ICNN.1994.374536
  • Filename
    374536