• DocumentCode
    2549165
  • Title

    A field programmable neural array

  • Author

    Farquhar, Ethan ; Gordon, Christal ; Hasler, Paul

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Tennessee Univ., Knoxville, TN
  • fYear
    2006
  • fDate
    21-24 May 2006
  • Lastpage
    4117
  • Abstract
    An analog circuit capable of accurately emulating large complex cells, or multiple less complex ones is described. This circuit is termed the FPNA or the field programmable neural array. It is analogous to the more familiar FPGA, but is composed of biologically relevant circuit components including active channels, dendrites, and synapses. Taking each of these circuit models, and adding a routing structure capable of routing outputs from cells (or external inputs) to any individual synapse at any node yields a device which is capable of emulating complex biological circuits. This circuit opens doors to investigating what particular types of computation individual cells are performing, as well as small networks simpler cells
  • Keywords
    analogue circuits; network routing; neural nets; programmable logic arrays; analog circuit; biologically relevant circuit components; field programmable neural array; routing structure; Analog circuits; Analog computers; Application software; Biology computing; Computer networks; Field programmable analog arrays; Field programmable gate arrays; Hardware; Neurons; Routing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
  • Conference_Location
    Island of Kos
  • Print_ISBN
    0-7803-9389-9
  • Type

    conf

  • DOI
    10.1109/ISCAS.2006.1693534
  • Filename
    1693534