• DocumentCode
    2233793
  • Title

    Analog CMOS current mode neural primitives

  • Author

    Diotalevi, F. ; Valle, M. ; Bo, G.M. ; Biglieri, E. ; Caviglia, D.D.

  • Author_Institution
    Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    717
  • Abstract
    The CMOS circuit implementation of the feedforward neural primitives of a generic Multi Layer Perceptron network is presented. Basically our approach is based on current mode computation and is aimed at a low power/low voltage circuit implementation; moreover, it is easily scalable to implement networks of any size. Experimental results are reported
  • Keywords
    CMOS analogue integrated circuits; analogue processing circuits; current-mode circuits; feedforward neural nets; low-power electronics; multilayer perceptrons; neural chips; CMOS circuit implementation; current mode computation; current mode neural primitives; feedforward neural primitives; generic MLP network; low power circuit implementation; low voltage circuit implementation; multilayer perceptron; neuron circuit; scalable design; synaptic circuit; Analog circuits; CMOS analog integrated circuits; CMOS technology; Circuit testing; Computer architecture; Computer networks; Feeds; Low voltage; Neurons; Transconductors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
  • Conference_Location
    Geneva
  • Print_ISBN
    0-7803-5482-6
  • Type

    conf

  • DOI
    10.1109/ISCAS.2000.856429
  • Filename
    856429
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2233793