• DocumentCode
    3742722
  • Title

    Design of cellular neural network architecture using memristors

  • Author

    Hyongsuk Kim;Changju Yang

  • Author_Institution
    Dept. of Electronic Engineering, College of Engineering, Chonbuk National University, Jeonju-si, Jeonbuk, Republic of Korea
  • fYear
    2015
  • Firstpage
    207
  • Lastpage
    208
  • Abstract
    A method to design a Cellular Neural Network architecture using memristors is proposed. Memsitor is a new resistive device whose resistivity varies depending upon applied voltage/current. In this paper, we show that a memristor bridge circuit consisting of four identical memristors that is able to perform zero, negative and positive synaptic weightings. Together with three additional transistors, the memristor bridge weighting circuit is able to perform synaptic operation for neural cells. Also, we show that Cellular Neural Networks can be implemented with the programming of different set of weights on the memristor bridge synapses.
  • Publisher
    ieee
  • Conference_Titel
    SoC Design Conference (ISOCC), 2015 International
  • Type

    conf

  • DOI
    10.1109/ISOCC.2015.7401791
  • Filename
    7401791