Literature DB >> 18217837

An escape from crowding.

Jeremy Freeman1, Denis G Pelli.   

Abstract

Crowding occurs when nearby flankers jumble the appearance of a target object, making it hard to identify. Crowding is feature integration over an inappropriately large region. What determines the size of that region? According to bottom-up proposals, the size is that of an anatomically determined isolation field. According to top-down proposals, the size is that of the spotlight of attention. Intriligator and Cavanagh (2001) proposed the latter, but we show that their conclusion rests on an implausible assumption. Here we investigate the role of attention in crowding using the change blindness paradigm. We measure capacity for widely and narrowly spaced letters during a change detection task, both with and without an interstimulus cue. We find that standard crowding manipulations-reducing spacing and adding flankers-severely impair uncued change detection but have no effect on cued change detection. Because crowded letters look less familiar, we must use longer internal descriptions (less compact representations) to remember them. Thus, fewer fit into working memory. The memory limit does not apply to the cued condition because the observer need remember only the cued letter. Cued performance escapes the effects of crowding, as predicted by a top-down account. However, our most parsimonious account of the results is bottom-up: Cued change detection is so easy that the observer can tolerate feature degradation and letter distortion, making the observer immune to crowding. The change detection task enhances the classic partial report paradigm by making the test easier (same/different instead of identifying one of many possible targets), which increases its sensitivity, so it can reveal degraded memory traces.

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Mesh:

Year:  2007        PMID: 18217837     DOI: 10.1167/7.2.22

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


  17 in total

1.  Sensory and cognitive influences on the training-related improvement of reading speed in peripheral vision.

Authors:  Yingchen He; Gordon E Legge; Deyue Yu
Journal:  J Vis       Date:  2013-06-24       Impact factor: 2.240

Review 2.  How Attention Affects Spatial Resolution.

Authors:  Marisa Carrasco; Antoine Barbot
Journal:  Cold Spring Harb Symp Quant Biol       Date:  2015-05-06

3.  Allocation of attention during pursuit of large objects is no different than during fixation.

Authors:  Scott N J Watamaniuk; Stephen J Heinen
Journal:  J Vis       Date:  2015       Impact factor: 2.240

4.  Ideal observer analysis of crowding and the reduction of crowding through learning.

Authors:  Gerald J Sun; Susana T L Chung; Bosco S Tjan
Journal:  J Vis       Date:  2010-05-01       Impact factor: 2.240

5.  Unmasking saccadic uncrowding.

Authors:  Mehmet N Ağaoğlu; Haluk Öğmen; Susana T L Chung
Journal:  Vision Res       Date:  2016-09-02       Impact factor: 1.886

6.  Dissociable effects of attention and crowding on orientation averaging.

Authors:  Steven C Dakin; Peter J Bex; John R Cass; Roger J Watt
Journal:  J Vis       Date:  2009-10-29       Impact factor: 2.240

7.  A summary-statistic representation in peripheral vision explains visual crowding.

Authors:  Benjamin Balas; Lisa Nakano; Ruth Rosenholtz
Journal:  J Vis       Date:  2009-11-19       Impact factor: 2.240

Review 8.  The uncrowded window of object recognition.

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

9.  Crowding changes appearance.

Authors:  John A Greenwood; Peter J Bex; Steven C Dakin
Journal:  Curr Biol       Date:  2010-03-04       Impact factor: 10.834

10.  I know where you are secretly attending! The topography of human visual attention revealed with fMRI.

Authors:  Ritobrato Datta; Edgar A DeYoe
Journal:  Vision Res       Date:  2009-06       Impact factor: 1.886

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