• DocumentCode
    1796375
  • Title

    Shared memristance restoring circuit for memristor-based Cellular Neural Networks

  • Author

    Youngsu Kim ; SangHak Shin ; Kyeong-Sik Min

  • Author_Institution
    Sch. of Electr. Eng., Kookmin Univ., Seoul, South Korea
  • fYear
    2014
  • fDate
    29-31 July 2014
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    In this paper, a memristance restoring circuit in the memristor-based Cellular Neural Networks (CNNs) is proposed. The proposed restoring circuit of memristance can be shared among many rows of synaptic circuits in CNN array to minimize the area overhead. Assuming 10×10 CNN cell array, if we share the restoring circuit among 10 rows of synaptic circuits in CNN array, the area overhead of the restoring circuit can be reduced to 1/10. The circuit simulation results show that the proposed restoring circuit can reduce the percentage variation in memristance from 21.1% to 0.12% during the restoring cycles.
  • Keywords
    cellular neural nets; memristors; CNN array; memristance restoring circuit; memristor based cellular neural networks; synaptic circuits; Arrays; Cellular neural networks; Circuit simulation; Educational institutions; Integrated circuit modeling; Memristors; Semiconductor device modeling; Cellular neural networks; memristors; shared memristance restoring circuits; synaptic weighting circuits;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Nanoscale Networks and their Applications (CNNA), 2014 14th International Workshop on
  • Conference_Location
    Notre Dame, IN
  • Type

    conf

  • DOI
    10.1109/CNNA.2014.6888625
  • Filename
    6888625