• DocumentCode
    1607226
  • Title

    CNN chip set architectures and the visual mouse

  • Author

    Roska, Tamás

  • Author_Institution
    Electron. Res. Lab., California Univ., Berkeley, CA, USA
  • fYear
    1996
  • Firstpage
    487
  • Lastpage
    492
  • Abstract
    The cellular neural network (CNN) Universal Machine architecture when implemented in VLSI chips needs special interfaces to provide for efficient system performance both in time (speed) and space (image size). The CNN chip set architectures described solve this problem, including interfacing the possibly analog input sensors and digital output and control. Various forms of CNN Engines are presented embedding CNN chip sets. A new device, the Visual Mouse, a hand held visual supercomputer, is also presented which exploits the genuine features of CNN Engines
  • Keywords
    VLSI; analogue-digital conversion; cellular neural nets; mouse controllers (computers); neural chips; neural net architecture; peripheral interfaces; CNN Universal Machine; VLSI chips; Visual Mouse; cellular neural network; interfacing; neural chip set architectures; visual supercomputer; Buffer storage; Cellular neural networks; Computer architecture; Computer interfaces; Engines; Laboratories; Mice; Microprocessors; Spatiotemporal phenomena; Turing machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and their Applications, 1996. CNNA-96. Proceedings., 1996 Fourth IEEE International Workshop on
  • Conference_Location
    Seville
  • Print_ISBN
    0-7803-3261-X
  • Type

    conf

  • DOI
    10.1109/CNNA.1996.566623
  • Filename
    566623