Literature DB >> 18217819

Configuration influence on crowding.

Tomer Livne1, Dov Sagi.   

Abstract

The influence of configuration on visual crowding was tested. Eight Gabor patches surrounding a central one were arranged in a way that created several global configurations differing by their internal arrangements (smooth contour vs. random), while still preserving pairwise relationships between the target and flankers. Orientation discrimination and contrast detection of the central Gabor were measured. These measurements revealed differences in the magnitude of crowding produced by the different configurations, especially on the discrimination task. The crowding effect was stronger when random configurations were used and was reduced considerably when a smooth one was used. These results showed the typical dependence of crowding on eccentricity and target-flanker separation, which was independent of the configural effect. Controlling flankers' local orientation allowed addressing the nature of the effect. It was found to be sensitive to spatial relations and did not represent a simple averaging of local orientation estimates. Our results show that crowding operates at a level where configuration information has already been extracted. We relate all this to the object-based nature of perception.

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Year:  2007        PMID: 18217819     DOI: 10.1167/7.2.4

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


  53 in total

1.  Visual crowding is correlated with awareness.

Authors:  Thomas S A Wallis; Peter J Bex
Journal:  Curr Biol       Date:  2011-02-08       Impact factor: 10.834

2.  Rapid and long-lasting reduction of crowding through training.

Authors:  Amit Yashar; Jiageng Chen; Marisa Carrasco
Journal:  J Vis       Date:  2015       Impact factor: 2.240

3.  The same binding in contour integration and crowding.

Authors:  Ramakrishna Chakravarthi; Denis G Pelli
Journal:  J Vis       Date:  2011-07-14       Impact factor: 2.240

4.  Vision: seeing through the gaps in the crowd.

Authors:  David Whitney
Journal:  Curr Biol       Date:  2009-12-15       Impact factor: 10.834

5.  Crowding is tuned for perceived (not physical) location.

Authors:  Steven C Dakin; John A Greenwood; Thomas A Carlson; Peter J Bex
Journal:  J Vis       Date:  2011-08-08       Impact factor: 2.240

6.  Crowding, grouping, and object recognition: A matter of appearance.

Authors:  Michael H Herzog; Bilge Sayim; Vitaly Chicherov; Mauro Manassi
Journal:  J Vis       Date:  2015       Impact factor: 2.240

7.  Crowding by a repeating pattern.

Authors:  Sarah Rosen; Denis G Pelli
Journal:  J Vis       Date:  2015       Impact factor: 2.240

8.  The dependence of crowding on flanker complexity and target-flanker similarity.

Authors:  Jean-Baptiste Bernard; Susana T L Chung
Journal:  J Vis       Date:  2011-07-05       Impact factor: 2.240

9.  Image correlates of crowding in natural scenes.

Authors:  Thomas S A Wallis; Peter J Bex
Journal:  J Vis       Date:  2012-07-13       Impact factor: 2.240

10.  A neurophysiologically plausible population code model for feature integration explains visual crowding.

Authors:  Ronald van den Berg; Jos B T M Roerdink; Frans W Cornelissen
Journal:  PLoS Comput Biol       Date:  2010-01-22       Impact factor: 4.475

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