Literature DB >> 7703297

Effect of degree of uniformity on predicted visual cortical response tuning curves.

M Almon1, H Spitzer.   

Abstract

The different cortical visual cells exhibit a large repertoire of responses to sinusoidal gratings, depending on their receptive field structure and the stimulation parameters. It has been shown previously that the tuning curves and histogram shapes of cell responses are affected by subunit distances. One receptive field model (Spitzer and Hochstein 1985b) incorporated subunit distance but assigned it as a constant parameter, for ease of calculation. Here we investigate different tuning curve properties of various primary cortical cell types during testing of 10 deg of nonuniform distances of the receptive fields' subunits. The effect of nonuniformity was compared for average responses, tuning curve shapes, maximum peak responses, and bandwidths across four cell types of different sizes. The shapes and other properties of tuning curves are usually found to be retained also when the degree of uniformity is not very high for most of the cell types. In addition, the effect of uniformity is compared across these different response properties. The maximum peak responses of the tuning curve are found to display a lower coefficient of variation than the bandwidth, for all cell types, for most degrees of uniformity.

Mesh:

Year:  1995        PMID: 7703297     DOI: 10.1007/bf00201486

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  34 in total

1.  Periodic excitability changes across the receptive fields of complex cells in the striate and parastriate cortex of the cat.

Authors:  D A Pollen; S F Ronner
Journal:  J Physiol       Date:  1975-03       Impact factor: 5.182

2.  Motion selectivity and the contrast-response function of simple cells in the visual cortex.

Authors:  D G Albrecht; W S Geisler
Journal:  Vis Neurosci       Date:  1991-12       Impact factor: 3.241

3.  An investigation of spatial frequency characteristics of the complex receptive fields in the visual cortex of the cat.

Authors:  V D Glezer; A M Cooperman; V A Ivanov; T A Tsherbach
Journal:  Vision Res       Date:  1976       Impact factor: 1.886

4.  Contrast and spatial variables in texture segregation: testing a simple spatial-frequency channels model.

Authors:  A Sutter; J Beck; N Graham
Journal:  Percept Psychophys       Date:  1989-10

5.  A model for the early stages of motion processing based on spatial and temporal edge detection by X-cells.

Authors:  H Spitzer; M Almon; I Sherman
Journal:  Spat Vis       Date:  1994

6.  A complex-cell receptive-field model.

Authors:  H Spitzer; S Hochstein
Journal:  J Neurophysiol       Date:  1985-05       Impact factor: 2.714

7.  Simple- and complex-cell response dependences on stimulation parameters.

Authors:  H Spitzer; S Hochstein
Journal:  J Neurophysiol       Date:  1985-05       Impact factor: 2.714

8.  Spatial computation performed by simple and complex cells in the visual cortex of the cat.

Authors:  D A Pollen; S F Ronner
Journal:  Vision Res       Date:  1982       Impact factor: 1.886

9.  Spatial and temporal frequency selectivity of neurones in visual cortical areas V1 and V2 of the macaque monkey.

Authors:  K H Foster; J P Gaska; M Nagler; D A Pollen
Journal:  J Physiol       Date:  1985-08       Impact factor: 5.182

10.  Receptive field organization of complex cells in the cat's striate cortex.

Authors:  J A Movshon; I D Thompson; D J Tolhurst
Journal:  J Physiol       Date:  1978-10       Impact factor: 5.182

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