Literature DB >> 4020509

Relationship between spatial-frequency and orientation tuning of striate-cortex cells.

M A Webster, R L De Valois.   

Abstract

If striate cells had the receptive-field (RF) shapes classically attributed to them, their preferred spatial frequencies would vary considerably with orientation. Other models of RF shape would predict a greater independence between orientation and spatial-frequency tuning. We have examined this by recording the responses of cat striate-cortex cells to a wide range of different spatial-frequency and orientation combinations. In almost all cells studied, peak orientation did not consistently vary with spatial frequency, but the majority of cells showed some change in peak spatial-frequency tuning with orientation. The amount of change in peak spatial frequency tended to be greater for cells that were narrowly tuned for orientation. However, cells narrowly (and also very broadly) tuned for spatial frequency tended to show considerable independence of spatial-frequency and orientation tuning, and in all but a few cells the degree of change was less than predicted by the classic RF model. Such cells were found to fire only to patterns whose local spatial spectra fell within a compact, restricted, roughly circular two-dimensional spatial-frequency region. We conclude that the two-dimensional RF shape of striate cells more closely approximates that predicted by a two-dimensional Gabor model or by a Gaussian-derivative model than it does the classic shape based on the output of geniculate cells with aligned RF's.

Mesh:

Year:  1985        PMID: 4020509     DOI: 10.1364/josaa.2.001124

Source DB:  PubMed          Journal:  J Opt Soc Am A        ISSN: 0740-3232            Impact factor:   2.129


  31 in total

1.  Spatial frequency maps in cat visual cortex.

Authors:  N P Issa; C Trepel; M P Stryker
Journal:  J Neurosci       Date:  2000-11-15       Impact factor: 6.167

Review 2.  Usage of spatial scales for the categorization of faces, objects, and scenes.

Authors:  D J Morrison; P G Schyns
Journal:  Psychon Bull Rev       Date:  2001-09

3.  Spatial frequency and orientation tuning dynamics in area V1.

Authors:  James A Mazer; William E Vinje; Josh McDermott; Peter H Schiller; Jack L Gallant
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-29       Impact factor: 11.205

4.  A neurodynamical model of visual attention: feedback enhancement of spatial resolution in a hierarchical system.

Authors:  G Deco; J Zihl
Journal:  J Comput Neurosci       Date:  2001 May-Jun       Impact factor: 1.621

Review 5.  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

6.  The relationship between the Gabor elementary function and a stochastic model of the inter-spike interval distribution in the responses of visual cortex neurons.

Authors:  D H Berger; K H Pribram
Journal:  Biol Cybern       Date:  1992       Impact factor: 2.086

Review 7.  Complex receptive fields in primary visual cortex.

Authors:  Luis M Martinez; Jose-Manuel Alonso
Journal:  Neuroscientist       Date:  2003-10       Impact factor: 7.519

8.  Task-based lens design with application to digital mammography.

Authors:  Liying Chen; Harrison H Barrett
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2005-01       Impact factor: 2.129

9.  The organization of orientation and spatial frequency in primary visual cortex.

Authors:  Lawrence Sirovich; Robert Uglesich
Journal:  Proc Natl Acad Sci U S A       Date:  2004-11-18       Impact factor: 11.205

10.  The integration of multiple stimulus features by V1 neurons.

Authors:  Alexander Grunewald; Evelyn K Skoumbourdis
Journal:  J Neurosci       Date:  2004-10-13       Impact factor: 6.167

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