• DocumentCode
    2662047
  • Title

    Synthetic neural systems using current-mode circuits

  • Author

    Andreou, Andreas G.

  • Author_Institution
    Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD, USA
  • fYear
    1990
  • fDate
    1-3 May 1990
  • Firstpage
    2428
  • Abstract
    An approach to the engineering of VLSI analog computing systems is presented. The approach emphasizes the role of currents as an appropriate signal representation, the need for low power dissipation, and the need for simplicity in the basic functional circuits. The design methodology is based on current-mode (CM) MOS circuits, and is inspired by the functional and organizational principles of biological neural circuits. The basic circuit blocks exploit the translinear properties of the MOS transistor in the subthreshold and use unidirectional current signals. Circuits for associative memories and silicon retinas are described
  • Keywords
    MOS integrated circuits; VLSI; analogue computer circuits; content-addressable storage; neural nets; VLSI analog computing systems; associative memories; biological neural circuits; current-mode MOS circuits; current-mode circuits; functional circuits; power dissipation; signal representation; silicon retinas; subthreshold; translinear properties; unidirectional current signals; Analog computers; Associative memory; Current mode circuits; Design methodology; MOSFETs; Power dissipation; Power engineering and energy; Power engineering computing; Signal representations; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1990., IEEE International Symposium on
  • Conference_Location
    New Orleans, LA
  • Type

    conf

  • DOI
    10.1109/ISCAS.1990.112501
  • Filename
    112501