Literature DB >> 33483608

Mixture model investigation of the inner-outer asymmetry in visual crowding reveals a heavier weight towards the visual periphery.

Adi Shechter1,2, Amit Yashar3,4.   

Abstract

Crowding, the failure to identify a peripheral item in clutter, is an essential bottleneck in visual information processing. A hallmark characteristic of crowding is the inner-outer asymmetry in which the outer flanker (more eccentric) produces stronger interference than the inner one (closer to the fovea). We tested the contribution of the inner-outer asymmetry to the pattern of crowding errors in a typical radial crowding display in which both flankers are presented simultaneously on the horizontal meridian. In two experiments, observers were asked to estimate the orientation of a Gabor target. Instead of the target, observers reported the outer flanker much more frequently than the inner one. When the target was the outer Gabor, crowding was reduced. Furthermore, when there were four flankers, two on each side of the target, observers misreported the outer flanker adjacent to the target, not the outermost flanker. Model comparisons suggested that orientation crowding reflects sampling over a weighted sum of the represented features, in which the outer flanker is more heavily weighted compared to the inner one. Our findings reveal a counterintuitive phenomenon: in a radial arrangement of orientation crowding, within a region of selection, the outer item dominates appearance more than the inner one.

Entities:  

Year:  2021        PMID: 33483608     DOI: 10.1038/s41598-021-81533-9

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  40 in total

1.  Crowding is unlike ordinary masking: distinguishing feature integration from detection.

Authors:  Denis G Pelli; Melanie Palomares; Najib J Majaj
Journal:  J Vis       Date:  2004-12-30       Impact factor: 2.240

2.  Holistic crowding: selective interference between configural representations of faces in crowded scenes.

Authors:  Elizabeth G Louie; David W Bressler; David Whitney
Journal:  J Vis       Date:  2007-11-26       Impact factor: 2.240

3.  Eye movement targets are released from visual crowding.

Authors:  William J Harrison; Jason B Mattingley; Roger W Remington
Journal:  J Neurosci       Date:  2013-02-13       Impact factor: 6.167

4.  Interaction effects in parafoveal letter recognition.

Authors:  H Bouma
Journal:  Nature       Date:  1970-04-11       Impact factor: 49.962

Review 5.  The uncrowded window of object recognition.

Authors:  Denis G Pelli; Katharine A Tillman
Journal:  Nat Neurosci       Date:  2008-10       Impact factor: 24.884

6.  Spatial and temporal crowding in amblyopia.

Authors:  Yoram S Bonneh; Dov Sagi; Uri Polat
Journal:  Vision Res       Date:  2007-05-14       Impact factor: 1.886

Review 7.  Visual crowding: a fundamental limit on conscious perception and object recognition.

Authors:  David Whitney; Dennis M Levi
Journal:  Trends Cogn Sci       Date:  2011-03-21       Impact factor: 20.229

Review 8.  Crowding--an essential bottleneck for object recognition: a mini-review.

Authors:  Dennis M Levi
Journal:  Vision Res       Date:  2008-01-28       Impact factor: 1.886

9.  Age-related changes in crowding and reading speed.

Authors:  Rong Liu; Bhavika N Patel; MiYoung Kwon
Journal:  Sci Rep       Date:  2017-08-15       Impact factor: 4.379

10.  Uncovering foveal crowding?

Authors:  Maria Lev; Oren Yehezkel; Uri Polat
Journal:  Sci Rep       Date:  2014-02-12       Impact factor: 4.379

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  4 in total

1.  Characterizing the in-out asymmetry in visual crowding.

Authors:  Ramakrishna Chakravarthi; Jirko Rubruck; Nikki Kipling; Alasdair D F Clarke
Journal:  J Vis       Date:  2021-10-05       Impact factor: 2.240

2.  Atypical visual field asymmetries in redundancy masking.

Authors:  Fazilet Zeynep Yildirim; Daniel R Coates; Bilge Sayim
Journal:  J Vis       Date:  2022-04-06       Impact factor: 2.004

3.  Mixture-modeling approach reveals global and local processes in visual crowding.

Authors:  Mikel Jimenez; Ruth Kimchi; Amit Yashar
Journal:  Sci Rep       Date:  2022-04-25       Impact factor: 4.996

4.  Transient attention equally reduces visual crowding in radial and tangential axes.

Authors:  Bahiyya Kewan-Khalayly; Marta Migó; Amit Yashar
Journal:  J Vis       Date:  2022-08-01       Impact factor: 2.004

  4 in total

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