• DocumentCode
    1627466
  • Title

    Neural implementation of computational models of motion analysis

  • Author

    Ulinski, Philip S.

  • Author_Institution
    Dept. of Organismal Biol. & Anat., Chicago Univ., IL, USA
  • fYear
    1992
  • Firstpage
    1029
  • Abstract
    It is noted that the fundamental properties of neurons that respond to moving objects can be represented in space-time plots. Recent neurobiological work with the visual cortex of turtles indicates how the generation of such plots can be understood in terms of underlying neural mechanisms. A preparation of turtle visual cortex has been developed that retains the axons of neurons in the dorsal lateral geniculate complex. One can place two stimulating electrodes in this bundle of fibers and sequentially activate two fascicles of axons that carry information from different regions of visual space over a range of interstimulus intervals. By recording from neurons in the visual cortex using intracellular recording methods, one can construct temporal integration curves that describe the time course of temporal facilitation of synaptic potentials in these neurons
  • Keywords
    bioelectric potentials; neural nets; physiological models; visual perception; computational models; dorsal lateral geniculate complex; interstimulus intervals; motion analysis; neural nets; space-time plots; synaptic potentials; temporal integration curves; turtles; visual cortex; Animals; Biological system modeling; Brain modeling; Computational modeling; Electrodes; Mechanical factors; Motion analysis; Nerve fibers; Neurons; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 1992., IEEE International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-7803-0720-8
  • Type

    conf

  • DOI
    10.1109/ICSMC.1992.271657
  • Filename
    271657