• DocumentCode
    303312
  • Title

    A programmable Gaussian node

  • Author

    Kuppuswamy, Ravishankar ; Theogarajan, Luiz ; Akers, L.A.

  • Author_Institution
    Center for Solid State Electron. Res., Arizona State Univ., Tempe, AZ, USA
  • Volume
    2
  • fYear
    1996
  • fDate
    3-6 Jun 1996
  • Firstpage
    880
  • Abstract
    An analog Gaussian basis circuit integrated with a nonvolatile storage memory cell is described. Hardware implementations of the Gaussian basis circuit with on-chip learning is needed for real time and portable applications. Each Gaussian basis cell is symbiotically inter-linked with its own long-term storage memory cell forming a highly localized architecture. Experimental results of both the Gaussian basis circuit and the memory element are presented. We show simulated results of an application of our cell in a MERAM system
  • Keywords
    MOS analogue integrated circuits; analogue processing circuits; analogue storage; content-addressable storage; neural chips; MERAM system; analog Gaussian basis circuit; highly localized architecture; long-term storage memory cell; multivalued exponential recurrent associative memory; nonvolatile storage memory cell; on-chip learning; portable applications; programmable Gaussian node; real-time applications; Biological system modeling; Brain modeling; Circuit simulation; Hardware; Lakes; MOSFETs; Nonvolatile memory; Solid state circuits; Symbiosis; Threshold voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1996., IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-3210-5
  • Type

    conf

  • DOI
    10.1109/ICNN.1996.549013
  • Filename
    549013