• DocumentCode
    3315149
  • Title

    Overview of CNN research: 25 years history and the current trends

  • Author

    Zarandy, Akos ; Rekeczky, Csaba ; Szolgay, Peter ; Chua, Leon O.

  • Author_Institution
    Inst. for Comput. Sci. & Control (MTA-SZTAKI), Budapest, Hungary
  • fYear
    2015
  • fDate
    24-27 May 2015
  • Firstpage
    401
  • Lastpage
    404
  • Abstract
    Cellular Neural/Nonlinear Networks (CNN) were invented in 1988, as an easy to implement, easy to program computer architecture for image and signal processing. This initiated intensive international research activities that lead to both theoretical (e.g. universality, stability studies in array dynamics) and experimental results (e.g. cellular sensor-processor chips and cellular algorithms). This overview paper summarizes the history of the CNN research and overviews the current activities in this field. Other areas are also discussed which were fostered by the results of the 25 years of CNN research: memristor architectures and processing, spin-torque oscillator architectures, many-core FPGA processing and industrial vision chips.
  • Keywords
    cellular neural nets; history; neural chips; nonlinear network analysis; CNN research; cellular neural-nonlinear networks; computer architecture; image processing; industrial vision chips; many-core FPGA processing; memristor architectures; signal processing; spin-torque oscillator architectures; Arrays; Circuit theory; Neural networks; Very large scale integration; Visualization; CNN; CNN-UM; Cellular Neural/Nonlinear Networks; beyond CMOS; ultra-high-speed vision systems; universality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2015 IEEE International Symposium on
  • Conference_Location
    Lisbon
  • Type

    conf

  • DOI
    10.1109/ISCAS.2015.7168655
  • Filename
    7168655