• DocumentCode
    1266427
  • Title

    Pulse-stream VLSI neural networks mixing analog and digital techniques

  • Author

    Murray, Alan F. ; Corso, Dante Del ; Tarassenko, Lionel

  • Author_Institution
    Dept. of Electr. Eng., Edinburgh Univ., UK
  • Volume
    2
  • Issue
    2
  • fYear
    1991
  • fDate
    3/1/1991 12:00:00 AM
  • Firstpage
    193
  • Lastpage
    204
  • Abstract
    The pulse-stream technique, which represents neural states as sequences of pulses, is reviewed. Several general issues are raised, and generic methods appraised, for pulsed encoding, arithmetic, and intercommunication schemes. Two contrasting synapse designs are presented and compared. The first is based on a fully analog computational form in which the only digital component is the signaling mechanism itself-asynchronous, pulse-rate encoded digital voltage pulses. In this circuit, multiplication occurs in the voltage/current domain. The second design uses more conventional digital memory for weight storage, with synapse circuits based on pulse stretching. Integrated circuits implementing up to 15000 analog, fully programmable synaptic connections are described. A demonstrator project is described in which a small robot localization network is implemented using asynchronous, analog, pulse-stream devices
  • Keywords
    VLSI; computerised signal processing; encoding; hybrid computers; neural nets; VLSI; analog computational form; digital memory; neural networks; programmable synaptic connections; pulse stretching; pulse-stream technique; pulsed encoding; robot localization network; signaling mechanism; synapse circuits; voltage/current domain; Analog computers; Analog integrated circuits; Appraisal; Arithmetic; Encoding; Neural networks; Pulse circuits; Robot localization; Very large scale integration; Voltage;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/72.80329
  • Filename
    80329