• DocumentCode
    3617428
  • Title

    An MOS cell circuit for compact implementation of reaction-diffusion models

  • Author

    K. Karahaliloglu;S. Balkir

  • Author_Institution
    Dept. of Electr. Eng., Nebraska-Lincoln Univ., Lincoln, NE, USA
  • Volume
    1
  • fYear
    2004
  • fDate
    6/26/1905 12:00:00 AM
  • Firstpage
    141
  • Lastpage
    145
  • Abstract
    A bio-inspired MOS cell design, which can be used in reaction-diffusion systems, and the corresponding implementation of a test reaction-diffusion CNN (RD-CNN) layer is presented. The network architecture and an approximate analysis of its certain D.C. characteristics are given. A test chip, which includes an array of the connected cells, is implemented. The chip also has separate test cells, which employ thick oxide MOSFET. The wave propagation in the network and I-V characteristics of the cells using thick-oxide MOSFETs are demonstrated and verified with measured results. The cell circuits and the resulting network are very compact and easily implementable with available technologies.
  • Keywords
    "Cellular neural networks","CMOS technology","Biological system modeling","MOSFETs","Laplace equations","Circuit testing","Cells (biology)","Semiconductor device modeling","Buildings","Design engineering"
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-8359-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2004.1379886
  • Filename
    1379886