Literature DB >> 7112954

Spatial frequency selectivity of cells in macaque visual cortex.

R L De Valois, D G Albrecht, L G Thorell.   

Abstract

We measured the spatial frequency contrast sensitivity of cells in the primate striate cortex at two different eccentricities to provide quantitative statistics from a large population of cells. Distributions of the peak frequencies and bandwidths are presented and examined in relationship to (a) each other, (b) absolute contrast sensitivity, (c) orientation tuning, (d)retinal eccentricity, and (e) cell type. Simple and complex cells are examined in relationship to linear/nonlinear (that is, X/Y) properties; a procedure is described which provides a simple, reliable and quantitative method for classifying and describing striate cells. Among other things, it is shown that (a) many stirate cells have quite narrow spatial bandwidths and (b) at a given retinal eccentricity, the distribution of peak frequency covers a wide range of frequencies; these findings support the basic multiple channel notion. The orientation tuning and spatial frequency tuning which occurs at the level of striate cortex (in a positively correlated fashion) suggests that the cells might best be considered as two-dimensional spatial filters.

Mesh:

Year:  1982        PMID: 7112954     DOI: 10.1016/0042-6989(82)90113-4

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  277 in total

1.  Some transformations of color information from lateral geniculate nucleus to striate cortex.

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3.  How simple cells are made in a nonlinear network model of the visual cortex.

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4.  Dynamics of spatial frequency tuning in macaque V1.

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Journal:  J Neurosci       Date:  2002-03-01       Impact factor: 6.167

5.  Phase-disparity coding in extrastriate area 19 of the cat.

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Journal:  J Physiol       Date:  2002-12-15       Impact factor: 5.182

Review 6.  A spherical model for orientation and spatial-frequency tuning in a cortical hypercolumn.

Authors:  Paul C Bressloff; Jack D Cowan
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2003-10-29       Impact factor: 6.237

7.  An egalitarian network model for the emergence of simple and complex cells in visual cortex.

Authors:  Louis Tao; Michael Shelley; David McLaughlin; Robert Shapley
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-26       Impact factor: 11.205

8.  Coarse-grained reduction and analysis of a network model of cortical response: I. Drifting grating stimuli.

Authors:  Michael Shelley; David McLaughlin
Journal:  J Comput Neurosci       Date:  2002 Mar-Apr       Impact factor: 1.621

9.  Local circuit inhibition in the cerebral cortex as the source of gain control and untuned suppression.

Authors:  Robert M Shapley; Dajun Xing
Journal:  Neural Netw       Date:  2012-09-20

10.  Peri-saccadic natural vision.

Authors:  Michael Dorr; Peter J Bex
Journal:  J Neurosci       Date:  2013-01-16       Impact factor: 6.167

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