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Metacontrast masking and the cortical representation of surface color: dynamical aspects of edge integration and contrast gain control

This paper reviews recent theoretical and experimental work supporting the idea that brightness is computed in a series of neural stages involving edge integration and contrast gain control. It is proposed here that metacontrast and paracontrast masking occur as byproducts of the dynamical propertie...

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Autor principal: Rudd, Michael E.
Formato: Texto
Lenguaje:English
Publicado: University of Finance and Management in Warsaw 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2864963/
https://www.ncbi.nlm.nih.gov/pubmed/20517518
http://dx.doi.org/10.2478/v10053-008-0034-z
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author Rudd, Michael E.
author_facet Rudd, Michael E.
author_sort Rudd, Michael E.
collection PubMed
description This paper reviews recent theoretical and experimental work supporting the idea that brightness is computed in a series of neural stages involving edge integration and contrast gain control. It is proposed here that metacontrast and paracontrast masking occur as byproducts of the dynamical properties of these neural mechanisms. The brightness computation model assumes, more specifically, that early visual neurons in the retina, and cortical areas V1 and V2, encode local edge signals whose magnitudes are proportional to the logarithms of the luminance ratios at luminance edges within the retinal image. These local edge signals give rise to secondary neural lightness and darkness spatial induction signals, which are summed at a later stage of cortical processing to produce a neural representation of surface color, or achromatic color, in the case of the chromatically neutral stimuli considered here. Prior to the spatial summation of these edge-based induction signals, the weights assigned to local edge contrast are adjusted by cortical gain mechanisms involving both lateral interactions between neural edge detectors and top-down attentional control. We have previously constructed and computer-simulated a neural model of achromatic color perception based on these principles and have shown that our model gives a good quantitative account of the results of several brightness matching experiments. Adding to this model the realistic dynamical assumptions that 1) the neurons that encode local contrast exhibit transient firing rate enhancement at the onset of an edge, and 2) that the effects of contrast gain control take time to spread between edges, results in a dynamic model of brightness computation that predicts the existence Broca-Sulzer transient brightness enhancement of the target, Type B metacontrast masking, and a form of paracontrast masking in which the target brightness is enhanced when the mask precedes the target in time.
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spelling pubmed-28649632010-06-01 Metacontrast masking and the cortical representation of surface color: dynamical aspects of edge integration and contrast gain control Rudd, Michael E. Adv Cogn Psychol Research Article This paper reviews recent theoretical and experimental work supporting the idea that brightness is computed in a series of neural stages involving edge integration and contrast gain control. It is proposed here that metacontrast and paracontrast masking occur as byproducts of the dynamical properties of these neural mechanisms. The brightness computation model assumes, more specifically, that early visual neurons in the retina, and cortical areas V1 and V2, encode local edge signals whose magnitudes are proportional to the logarithms of the luminance ratios at luminance edges within the retinal image. These local edge signals give rise to secondary neural lightness and darkness spatial induction signals, which are summed at a later stage of cortical processing to produce a neural representation of surface color, or achromatic color, in the case of the chromatically neutral stimuli considered here. Prior to the spatial summation of these edge-based induction signals, the weights assigned to local edge contrast are adjusted by cortical gain mechanisms involving both lateral interactions between neural edge detectors and top-down attentional control. We have previously constructed and computer-simulated a neural model of achromatic color perception based on these principles and have shown that our model gives a good quantitative account of the results of several brightness matching experiments. Adding to this model the realistic dynamical assumptions that 1) the neurons that encode local contrast exhibit transient firing rate enhancement at the onset of an edge, and 2) that the effects of contrast gain control take time to spread between edges, results in a dynamic model of brightness computation that predicts the existence Broca-Sulzer transient brightness enhancement of the target, Type B metacontrast masking, and a form of paracontrast masking in which the target brightness is enhanced when the mask precedes the target in time. University of Finance and Management in Warsaw 2008-07-15 /pmc/articles/PMC2864963/ /pubmed/20517518 http://dx.doi.org/10.2478/v10053-008-0034-z Text en Copyright: © 2008 University of Finance and Management in Warsaw http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Rudd, Michael E.
Metacontrast masking and the cortical representation of surface color: dynamical aspects of edge integration and contrast gain control
title Metacontrast masking and the cortical representation of surface color: dynamical aspects of edge integration and contrast gain control
title_full Metacontrast masking and the cortical representation of surface color: dynamical aspects of edge integration and contrast gain control
title_fullStr Metacontrast masking and the cortical representation of surface color: dynamical aspects of edge integration and contrast gain control
title_full_unstemmed Metacontrast masking and the cortical representation of surface color: dynamical aspects of edge integration and contrast gain control
title_short Metacontrast masking and the cortical representation of surface color: dynamical aspects of edge integration and contrast gain control
title_sort metacontrast masking and the cortical representation of surface color: dynamical aspects of edge integration and contrast gain control
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2864963/
https://www.ncbi.nlm.nih.gov/pubmed/20517518
http://dx.doi.org/10.2478/v10053-008-0034-z
work_keys_str_mv AT ruddmichaele metacontrastmaskingandthecorticalrepresentationofsurfacecolordynamicalaspectsofedgeintegrationandcontrastgaincontrol