• DocumentCode
    1440872
  • Title

    FPGA implementation of biologically-inspired auto-associative memory

  • Author

    Ang, C.H. ; McEwan, Alistair L. ; van Schaik, Andre ; Jin, C. ; Leong, Philip H. W.

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Univ. of Sydney, Sydney, NSW, Australia
  • Volume
    48
  • Issue
    3
  • fYear
    2012
  • Firstpage
    148
  • Lastpage
    149
  • Abstract
    The design of an auto-associative memory based on a spiking neural network is described. Delays rather than binary values are used to represent signals and coincidence is used to perform pattern matching. A complete implementation of the memory on a single FPGA is presented.
  • Keywords
    field programmable gate arrays; neural nets; FPGA implementation; binary value; biologically-inspired auto-associative memory; pattern matching; single FPGA; spiking neural network;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2011.3651
  • Filename
    6145813
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1440872