Literature DB >> 27576193

Contrast and lustre: A model that accounts for eleven different forms of contrast discrimination in binocular vision.

Mark A Georgeson1, Stuart A Wallis2, Tim S Meese2, Daniel H Baker3.   

Abstract

Our goal here is a more complete understanding of how information about luminance contrast is encoded and used by the binocular visual system. In two-interval forced-choice experiments we assessed observers' ability to discriminate changes in contrast that could be an increase or decrease of contrast in one or both eyes, or an increase in one eye coupled with a decrease in the other (termed IncDec). The base or pedestal contrasts were either in-phase or out-of-phase in the two eyes. The opposed changes in the IncDec condition did not cancel each other out, implying that along with binocular summation, information is also available from mechanisms that do not sum the two eyes' inputs. These might be monocular mechanisms. With a binocular pedestal, monocular increments of contrast were much easier to see than monocular decrements. These findings suggest that there are separate binocular (B) and monocular (L,R) channels, but only the largest of the three responses, max(L,B,R), is available to perception and decision. Results from contrast discrimination and contrast matching tasks were described very accurately by this model. Stimuli, data, and model responses can all be visualized in a common binocular contrast space, allowing a more direct comparison between models and data. Some results with out-of-phase pedestals were not accounted for by the max model of contrast coding, but were well explained by an extended model in which gratings of opposite polarity create the sensation of lustre. Observers can discriminate changes in lustre alongside changes in contrast.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Binocular lustre; Binocular vision; Computational model; Contrast discrimination; Contrast matching; Dichoptic masking

Mesh:

Year:  2016        PMID: 27576193     DOI: 10.1016/j.visres.2016.08.001

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


  12 in total

1.  Binocular combination of luminance profiles.

Authors:  Jian Ding; Dennis M Levi
Journal:  J Vis       Date:  2017-11-01       Impact factor: 2.240

2.  A unified model for binocular fusion and depth perception.

Authors:  Jian Ding; Dennis M Levi
Journal:  Vision Res       Date:  2020-12-21       Impact factor: 1.886

3.  Shifting eye balance using monocularly directed attention in normal vision.

Authors:  Sandy P Wong; Alex S Baldwin; Robert F Hess; Kathy T Mullen
Journal:  J Vis       Date:  2021-05-03       Impact factor: 2.240

4.  At least two distinct mechanisms control binocular luster, rivalry, and perceived rotation with contrast and average luminance disparities.

Authors:  Richard S Hetley; Wm Wren Stine
Journal:  PLoS One       Date:  2019-05-21       Impact factor: 3.240

5.  Ocularity Feature Contrast Attracts Attention Exogenously.

Authors:  Li Zhaoping
Journal:  Vision (Basel)       Date:  2018-02-24

6.  Binaural summation of amplitude modulation involves weak interaural suppression.

Authors:  D H Baker; G Vilidaite; E McClarnon; E Valkova; A Bruno; R E Millman
Journal:  Sci Rep       Date:  2020-02-26       Impact factor: 4.379

7.  Binocular global motion perception is improved by dichoptic segregation when stimuli have high contrast and high speed.

Authors:  Lanya T Cai; Alexander E Yuan; Benjamin T Backus
Journal:  J Vis       Date:  2019-11-01       Impact factor: 2.240

8.  Binocular fusion enhances the efficiency of spot-the-difference gameplay.

Authors:  Kavitha Venkataramanan; Swanandi Gawde; Amithavikram R Hathibelagal; Shrikant R Bharadwaj
Journal:  PLoS One       Date:  2021-07-20       Impact factor: 3.240

9.  Evidence in Support of the Border-Ownership Neurons for Representing Textured Figures.

Authors:  Chao Han; Wanyi Huang; Yong R Su; Zijiang J He; Teng Leng Ooi
Journal:  iScience       Date:  2020-07-21

10.  Binocular summation revisited: Beyond √2.

Authors:  Daniel H Baker; Freya A Lygo; Tim S Meese; Mark A Georgeson
Journal:  Psychol Bull       Date:  2018-08-13       Impact factor: 17.737

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