Literature DB >> 26024457

Crowding by a repeating pattern.

Sarah Rosen, Denis G Pelli.   

Abstract

Theinability to recognize a peripheral target among flankers is called crowding. For a foveal target, crowding can be distinguished from overlap masking by its sparing of detection, linear scaling with eccentricity, and invariance with target size.Crowding depends on the proximity and similarity of the flankers to the target. Flankers that are far from or dissimilar to the target do not crowd it. On a gray page, text whose neighboring letters have different colors, alternately black and white, has enough dissimilarity that it might escape crowding. Since reading speed is normally limited by crowding, escape from crowding should allow faster reading. Yet reading speed is unchanged (Chung & Mansfield, 2009). Why? A recent vernier study found that using alternating-color flankers produces strong crowding (Manassi, Sayim, & Herzog, 2012). Might that effect occur with letters and reading? Critical spacing is the minimum center-to-center target-flanker spacing needed to correctly identify the target. We measure it for a target letter surrounded by several equidistant flanker letters of the same polarity, opposite polarity, or mixed polarity: alternately white and black. We find strong crowding in the alternating condition, even though each flanker letter is beyond its own critical spacing (as measured in a separate condition). Thus a periodic repeating pattern can produce crowding even when the individual elements do not. Further, in all conditions we find that, once a periodic pattern repeats (two cycles), further repetition does not affect critical spacing of the innermost flanker.

Mesh:

Year:  2015        PMID: 26024457      PMCID: PMC4441529          DOI: 10.1167/15.6.10

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


  42 in total

1.  Configuration influence on crowding.

Authors:  Tomer Livne; Dov Sagi
Journal:  J Vis       Date:  2007-02-05       Impact factor: 2.240

2.  Amblyopic reading is crowded.

Authors:  Dennis M Levi; Shuang Song; Denis G Pelli
Journal:  J Vis       Date:  2007-10-26       Impact factor: 2.240

Review 3.  Crowding and eccentricity determine reading rate.

Authors:  Denis G Pelli; Katharine A Tillman; Jeremy Freeman; Michael Su; Tracey D Berger; Najib J Majaj
Journal:  J Vis       Date:  2007-10-26       Impact factor: 2.240

4.  Grouping of contextual elements that affect vernier thresholds.

Authors:  Maka Malania; Michael H Herzog; Gerald Westheimer
Journal:  J Vis       Date:  2007-01-29       Impact factor: 2.240

5.  Temporal properties of the polarity advantage effect in crowding.

Authors:  Ramakrishna Chakravarthi; Patrick Cavanagh
Journal:  J Vis       Date:  2007-03-27       Impact factor: 2.240

6.  Supercrowding: weakly masking a target expands the range of crowding.

Authors:  Timothy J Vickery; Won Mok Shim; Ramakrishna Chakravarthi; Yuhong V Jiang; Robert Luedeman
Journal:  J Vis       Date:  2009-02-10       Impact factor: 2.240

7.  Global stimulus configuration modulates crowding.

Authors:  Toni P Saarela; Bilge Sayim; Gerald Westheimer; Michael H Herzog
Journal:  J Vis       Date:  2009-02-06       Impact factor: 2.240

8.  Contrast polarity, chromaticity, and stereoscopic depth modulate contextual interactions in vernier acuity.

Authors:  Bilge Sayim; Gerald Westheimer; Michael H Herzog
Journal:  J Vis       Date:  2008-06-30       Impact factor: 2.240

Review 9.  The uncrowded window of object recognition.

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

Review 10.  Crowding: a cortical constraint on object recognition.

Authors:  Denis G Pelli
Journal:  Curr Opin Neurobiol       Date:  2008-10-27       Impact factor: 6.627

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  6 in total

1.  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

2.  Dissociable effects of visual crowding on the perception of color and motion.

Authors:  John A Greenwood; Michael J Parsons
Journal:  Proc Natl Acad Sci U S A       Date:  2020-03-19       Impact factor: 11.205

3.  Broad attention uncovers benefits of stimulus uniformity in visual crowding.

Authors:  Koen Rummens; Bilge Sayim
Journal:  Sci Rep       Date:  2021-12-14       Impact factor: 4.379

4.  Multidimensional feature interactions in visual crowding: When  configural  cues  eliminate the polarity advantage.

Authors:  Koen Rummens; Bilge Sayim
Journal:  J Vis       Date:  2022-05-03       Impact factor: 2.004

5.  Challenges to pooling models of crowding: Implications for visual mechanisms.

Authors:  Ruth Rosenholtz; Dian Yu; Shaiyan Keshvari
Journal:  J Vis       Date:  2019-07-01       Impact factor: 2.240

6.  Crowding and attention in a framework of neural network model.

Authors:  Endel Põder
Journal:  J Vis       Date:  2020-12-02       Impact factor: 2.240

  6 in total

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