• DocumentCode
    2516620
  • Title

    Using CNN to unravel space-time processing in the vertebrate retina

  • Author

    Werblin, Frank ; Jacobs, Adam

  • Author_Institution
    Div. of Neurobiol., California Univ., Berkeley, CA, USA
  • fYear
    1994
  • fDate
    18-21 Dec 1994
  • Firstpage
    33
  • Lastpage
    40
  • Abstract
    The vertebrate retina performs a number of highly complex transformations in space and time. Because we have not had adequate tools for analyzing these functions, little is presently known about the mechanisms underlying these transformations. CNN provides, for the first time, an analytical framework within which these transformations can be predicted, measured and analyzed. While conventional analyses have relied on studies of only single cells CNN allows us to think about, manipulate generate and study patterns of activity involving large populations of cells. Thus, CNN promises to unravel some of the important mechanisms by which the retina abstracts and encodes the visual message in space and time
  • Keywords
    cellular neural nets; eye; image processing; CNN; image processing; inner retina; retinal processing; space-time processing; vertebrate retina; Abstracts; Biological cells; Broadcasting; Cellular neural networks; Jacobian matrices; Motion detection; Neurons; Photoreceptors; Retina; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and their Applications, 1994. CNNA-94., Proceedings of the Third IEEE International Workshop on
  • Conference_Location
    Rome
  • Print_ISBN
    0-7803-2070-0
  • Type

    conf

  • DOI
    10.1109/CNNA.1994.381683
  • Filename
    381683