ICANN ’93 pp 153-156 | Cite as

A New Model for Spatial Frequency and Orientation Tuning in the Visual Cortex based on Delayed Inputs from the Retina

  • Philippe Grandguillaume
Conference paper


We propose a new model of the spatial frequency and orientation selectivity in the visual cortical neurons. It uses lateral inhibition and temporally segregated activations between cortical neurons, resulting in predictive coding. It is in agreement with some caracteristics of the architecture of the visual cortex of the monkey. The model is based on the segregation of the times of arrival in the visual cortex of signals originating from the retina and relayed in the lateral geniculate nucleus. This distribution of delays depends both on the type of ganglion cell, and of its position on the retina. Indeed the parallel channels into which the retinal image is decomposed are represented as delay lines; and the resulting spatially uniform and discrete distribution of delays is modulated by spatial factors determined by the geometry of the retina.


Spatial Frequency Ganglion Cell Visual Cortex Receptive Field Lateral Inhibition 
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  1. 1.
    D.C. Van Essen, & J.H.R. Maunsell: Hierachical organization and functional streams in the visual cortex, TINS, 6, 9 (1983)Google Scholar
  2. 2.
    R.L. De Valois, E.W. Yund, N. Hepler: The orientation and direction selectivity of cells in macaque visual cortex, Vis.Res. Vol. 22, 531–544 (1982)CrossRefGoogle Scholar
  3. 3.
    R.L. De Valois, D.G. Albrecht, L.G. Thorell: Spatial frequency selectivity of cells in macaque visual cortex, Vis.Res. Vol. 22, 545–559 (1982)CrossRefGoogle Scholar
  4. 4.
    P.H. Schiller & N.K. Logothetis: The color-opponent and broad-band channels of the primate visual system. TINS, Vol 13, 10, 392–398 (1990)Google Scholar
  5. 5.
    S.G. Mallat: Multifrequency channel decompositions of images and wavelet models. IEEE transactions on acoustics, speech and signal processing, 37, 2091–2109 (1989)CrossRefGoogle Scholar
  6. 6.
    R. Linsker: Self-organization in a perceptual network. Computer, march, 105–117 (1988)Google Scholar
  7. 7.
    R. Linsker: Perceptual neural organization: some approaches based on network models and information theory, Annu.Rev.Neurosci. 13: 257–281 (1990)CrossRefGoogle Scholar
  8. 8.
    J. Stone, B. Dreher, A. Leventhal: hierrarchical and parallel mechanisms in the organization of visual cortex. Brain Res. 1, 354–394 (1979)Google Scholar
  9. 9.
    A.K. Sestokas, S. Lehmkuhle, K.E. Kratz: Visual latency of ganglion X and Y cells: a comparison with geniculate X and Y cells. Vision Res. Vol.27, 1399–1408 (1987)CrossRefGoogle Scholar
  10. 10.
    D.N. Mastronarde: Nonlagged relay cells and interneurons in the cat lateral geniculate nucleus: Receptive-field properties and retinal inputs. Vis.neurosci., 8, 407–441 (1992)CrossRefGoogle Scholar
  11. 11.
    P. Gouras: Antidromic responses of orthodromically identified ganglion cells in monkey retina. J. Physiol.. 204, 407–419 (1969)Google Scholar
  12. 12.
    Polyak: The Retina. University of Chicago Press (1941)Google Scholar
  13. 13.
    M.V. Srinavasan, S.B. Laughlin and A. Dubs: Predictive coding: a fresh view on inhibition in the retina. Proc.R.Soc.Lon.B 216, 427–459 (1982)CrossRefGoogle Scholar
  14. 14.
    C.W. Harrison: Experiments with linear prediction in television, Bell Syst.Tech.J. 765–783 (1952)Google Scholar
  15. 15.
    A.M. Sillito: Orientation selectivity and the spatial organization of the afferent inputs to the striate cortex. Exp. Brain Res., 41, 9 (1980)CrossRefGoogle Scholar
  16. 16.
    J.A. Matsubara, M.S. Cynader, and N.V. Swindale: Anatomical properties and physiologogical correlates of the intrinsic connections in cat area 18. J.Neurosci. 7, 5, 1428–1446 (1987)Google Scholar

Copyright information

© Springer-Verlag London Limited 1993

Authors and Affiliations

  • Philippe Grandguillaume
    • 1
  1. 1.Département des Neurosciences de la Vision ActiveInstitut des Neurosciences du C.N.R.S., Université Pierre-et-Marie CurieParisFrance

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