• DocumentCode
    2534714
  • Title

    A simple RTD-based circuit for Boolean CNN cells

  • Author

    Hänggi, Martin ; Chua, Leon O. ; Dogaru, Radu

  • Author_Institution
    Nonlinear Electron. Lab., California Univ., Berkeley, CA, USA
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    189
  • Lastpage
    194
  • Abstract
    We investigate the use of resonant tunneling diodes (RTDs) in circuits for Boolean cellular neural networks (CNNs). RTDs excel in their electronic properties, their size, and switching speed, and can readily be integrated together with GaAs FETs. A simple RTD-based circuit is proposed and shown to be capable of realizing linearly separable Boolean functions. To implement the network parameters, the transconductances of the FETs are used. Hence, the cell is not programmable or universal, but application-specific. The theoretical results are confirmed by Spice simulations, and an example is given
  • Keywords
    Boolean functions; SPICE; cellular neural nets; field effect transistor circuits; logic circuits; neural chips; resonant tunnelling diodes; Boolean function; GaAs FET; Spice simulations; cellular neural network; resonant tunneling diodes; transconductance; Cellular neural networks; Circuit simulation; Diodes; Equations; FETs; Gallium arsenide; Nanoelectronics; Resonant tunneling devices; Transient analysis; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
  • Conference_Location
    Catania
  • Print_ISBN
    0-7803-6344-2
  • Type

    conf

  • DOI
    10.1109/CNNA.2000.876843
  • Filename
    876843