• DocumentCode
    3331083
  • Title

    Programmable neural logic

  • Author

    Bohossian, Vasken ; Hasler, Paul ; Bruck, Jehoshua

  • Author_Institution
    California Inst. of Technol., Pasadena, CA, USA
  • fYear
    1997
  • fDate
    8-10 Oct 1997
  • Firstpage
    13
  • Lastpage
    21
  • Abstract
    Circuits of threshold elements (Boolean input, Boolean output neurons) have been shown to be surprisingly powerful. Useful functions such as XOR, ADD and MULTIPLY can be implemented by such circuits more efficiently than by traditional AND/OR circuits. In view of that, we have designed and built a programmable threshold element. The weights are stored on polysilicon floating gates, providing long-term retention without refresh. The weight value is increased using tunneling and decreased via hot electron injection. A weight is stored on a single transistor allowing the development of dense arrays of threshold elements. A 16-input programmable neuron was fabricated in the standard 2 μm double-poly analog process available from MOSIS. A long term goal of this research is to incorporate programmable threshold elements, as building blocks in Field Programmable Gate Arrays
  • Keywords
    Boolean functions; VLSI; analogue processing circuits; hot carriers; neural chips; programmable logic devices; threshold logic; Boolean input; Boolean output; analogue VLSI; double-poly analog process; field programmable gate arrays; hot electron injection; polysilicon floating gates; programmable neural logic; programmable neuron; programmable threshold element; tunneling; weight value; Boolean functions; Computer science; Field programmable analog arrays; HTML; Logic circuits; Neurons; Polynomials; Postal services; Silicon; Uniform resource locators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Systems in Silicon, 1997. Proceedings., Second Annual IEEE International Conference on
  • Conference_Location
    Austin, TX
  • ISSN
    1094-7116
  • Print_ISBN
    0-7803-4276-3
  • Type

    conf

  • DOI
    10.1109/ICISS.1997.630242
  • Filename
    630242