A New Model for Spatial Frequency and Orientation Tuning in the Visual Cortex based on Delayed Inputs from the Retina
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.
KeywordsRetina Acoustics Valois
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- 1.D.C. Van Essen, & J.H.R. Maunsell: Hierachical organization and functional streams in the visual cortex, TINS, 6, 9 (1983)Google Scholar
- 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
- 6.R. Linsker: Self-organization in a perceptual network. Computer, march, 105–117 (1988)Google Scholar
- 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
- 11.P. Gouras: Antidromic responses of orthodromically identified ganglion cells in monkey retina. J. Physiol.. 204, 407–419 (1969)Google Scholar
- 12.Polyak: The Retina. University of Chicago Press (1941)Google Scholar
- 14.C.W. Harrison: Experiments with linear prediction in television, Bell Syst.Tech.J. 765–783 (1952)Google Scholar
- 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