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    December 01 1989

    Synthetic Neural Circuits Using Current-Domain Signal Representations

    In Special Collection:CogNet
    Andreas G. Andreou,
    Andreas G. Andreou
    Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218 USA
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    Kwabena A. Boahen
    Kwabena A. Boahen
    Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218 USA
    Search for other works by this author on:
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    Andreas G. Andreou
    Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218 USA
    Kwabena A. Boahen
    Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, MD 21218 USA
    Received:March 30 1989
    Accepted:October 13 1989
    Online ISSN: 1530-888X
    Print ISSN: 0899-7667
    © 1989 Massachusetts Institute of Technology
    1989
    Neural Computation (1989) 1 (4): 489–501.
    Article history
    Received:
    March 30 1989
    Accepted:
    October 13 1989
    Citation

    Andreas G. Andreou,Kwabena A. Boahen; Synthetic Neural Circuits Using Current-Domain Signal Representations.Neural Comput 1989; 1 (4): 489–501. doi:https://doi.org/10.1162/neco.1989.1.4.489

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      Abstract

      We present a new approach to the engineering of collective analog computing systems that emphasizes the role of currents as an appropriate signal representation and the need for low-power dissipation and simplicity in the basic functional circuits. The design methodology and implementation style that we describe are inspired by the functional and organizational principles of neuronal circuits in living systems. We have implemented synthetic neurons and synapses in analog CMOS VLSI that are suitable for building associative memories and self-organizing feature maps.

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      © 1989 Massachusetts Institute of Technology
      1989
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      • Online ISSN 1530-888X
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