• DocumentCode
    1084869
  • Title

    Pulse stream VLSI neural networks

  • Author

    Murray, A.F. ; Hamilton, Andrew ; Homes, A.J. ; Jackson, G.B. ; Reekie, H.M. ; Woodburn, R.J.

  • Author_Institution
    Edinburgh Univ., UK
  • Volume
    14
  • Issue
    3
  • fYear
    1994
  • fDate
    6/1/1994 12:00:00 AM
  • Firstpage
    29
  • Lastpage
    39
  • Abstract
    EPSILON, a large, working, VLSI device, demonstrates pulse stream methods in the wider context of analog neural networks. EPSILON uses dynamic weight storage techniques, but a nonvolatile alternative is desirable. To that end, we have developed an amorphous silicon memory, which we present in experiments incorporating the device in a modest pulse stream neural chip. We have also developed a target-based training algorithm, which we demonstrate in a prototype learning device using a realistic problem. Finally, we explore system-level problems in experiments with a second version of EPSILON in a small, autonomous robot.<>
  • Keywords
    VLSI; neural chips; neural nets; EPSILON; amorphous silicon memory; analog neural networks; autonomous robot; dynamic weight storage techniques; neural chip; pulse stream VLSI neural networks; system-level problems; training algorithm; Circuits; Frequency modulation; Neural networks; Neurons; Pulse modulation; Pulsed power supplies; Space vector pulse width modulation; Very large scale integration; Voltage; Voltage-controlled oscillators;
  • fLanguage
    English
  • Journal_Title
    Micro, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1732
  • Type

    jour

  • DOI
    10.1109/40.285222
  • Filename
    285222