• DocumentCode
    466645
  • Title

    The Design of MOS-BJT-NDR-Based Cellular Neural Network

  • Author

    Liang, Dong-Shong ; Chen, Yaw-Hwang ; Wen, Chun-Min ; Tu, Chun-Da ; Gan, Kwang-Jow ; Tsai, Cher-Shiung

  • Author_Institution
    Kun Shan Univ., Tainan
  • fYear
    2006
  • fDate
    25-28 June 2006
  • Firstpage
    189
  • Lastpage
    190
  • Abstract
    The cell of cellular neural network (CNN) studied in this work is realized by negative differential resistance (NDR) devices. The NDR device is composed of metal-oxide semiconductor field-effect transistor (MOS) devices and bipolar transistor (BJT). Therefore, we can fabricate the cellular neural network by standard CMOS or BiCMOS process.
  • Keywords
    BiCMOS integrated circuits; CMOS integrated circuits; MOSFET; bipolar transistors; cellular neural nets; negative resistance devices; BiCMOS process; MOS-BJT-NDR; bipolar transistor; cellular neural network; metal-oxide semiconductor field-effect transistor devices; negative differential resistance devices; standard CMOS process; Cellular networks; Cellular neural networks; Circuits; FETs; Gallium nitride; Logic devices; MOS devices; MOSFETs; Resonant tunneling devices; Voltage; Cellular neural network(CNN); Negative differential resistance(NDR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    University/Government/Industry Microelectronics Symposium, 2006 16th Biennial
  • Conference_Location
    San Jose, CA
  • ISSN
    0749-6877
  • Print_ISBN
    1-4244-0267-0
  • Type

    conf

  • DOI
    10.1109/UGIM.2006.4286379
  • Filename
    4286379