Literature DB >> 17997667

Contrast gain control in natural scenes.

Peter J Bex1, Isabelle Mareschal, Steven C Dakin.   

Abstract

Behavioral and electrophysiological studies of visual processing routinely employ sine wave grating stimuli, an approach that has led to the development of models in which the first stage of cortical visual processing acts as a bank of narrowband local filters whose responses vary with the contrast of preferred structure falling within their receptive fields. The relevance of this approach to natural vision is currently being challenged. We examine the contrast response of the human visual system to natural scenes. The results support a narrowband approach to visual processing but require its elaboration. Unlike grating patterns, the contrast response to natural scenes depends on the phase structure at remote spatial scales, but over a limited spatial region. The results suggest that contrast gain control acts within, but not across, cortical hypercolumns and serves to reduce the difference between the responses of detectors in regions of high and low contrast. This process tends to normalize the response of the visual system across natural scenes, which contain uneven contrast distributions.

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Mesh:

Year:  2007        PMID: 17997667     DOI: 10.1167/7.11.12

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  15 in total

1.  Adapting to altered image statistics using processed video.

Authors:  Michael Falconbridge; David Wozny; Ladan Shams; Stephen A Engel
Journal:  Vision Res       Date:  2009-04-11       Impact factor: 1.886

2.  Sensitivity to gaze-contingent contrast increments in naturalistic movies: An exploratory report and model comparison.

Authors:  Thomas S A Wallis; Michael Dorr; Peter J Bex
Journal:  J Vis       Date:  2015       Impact factor: 2.240

Review 3.  The divisive normalization model of V1 neurons: a comprehensive comparison of physiological data and model predictions.

Authors:  Tadamasa Sawada; Alexander A Petrov
Journal:  J Neurophysiol       Date:  2017-08-23       Impact factor: 2.714

4.  (In) sensitivity to spatial distortion in natural scenes.

Authors:  Peter J Bex
Journal:  J Vis       Date:  2010-02-24       Impact factor: 2.240

5.  Detecting contrast changes in invisible patterns during binocular rivalry.

Authors:  Sam Ling; Bjorn Hubert-Wallander; Randolph Blake
Journal:  Vision Res       Date:  2010-09-19       Impact factor: 1.886

6.  Discriminating natural image statistics from neuronal population codes.

Authors:  Satohiro Tajima; Masato Okada
Journal:  PLoS One       Date:  2010-03-25       Impact factor: 3.240

7.  Contrast sensitivity in natural scenes depends on edge as well as spatial frequency structure.

Authors:  Peter J Bex; Samuel G Solomon; Steven C Dakin
Journal:  J Vis       Date:  2009-09-04       Impact factor: 2.240

8.  Global properties of natural scenes shape local properties of human edge detectors.

Authors:  Peter Neri
Journal:  Front Psychol       Date:  2011-08-05

9.  Anodal transcranial direct current stimulation reduces psychophysically measured surround suppression in the human visual cortex.

Authors:  Daniel P Spiegel; Bruce C Hansen; Winston D Byblow; Benjamin Thompson
Journal:  PLoS One       Date:  2012-05-01       Impact factor: 3.240

10.  The Effects of tDCS Across the Spatial Frequencies and Orientations that Comprise the Contrast Sensitivity Function.

Authors:  Bruno Richard; Aaron P Johnson; Benjamin Thompson; Bruce C Hansen
Journal:  Front Psychol       Date:  2015-11-27
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