Literature DB >> 18217826

Temporal properties of the polarity advantage effect in crowding.

Ramakrishna Chakravarthi1, Patrick Cavanagh.   

Abstract

If the target in a crowding display differs from the distracters in its contrast polarity, the extent of crowding is reduced compared to the condition where all the elements in the display have the same polarity. In Experiment 1, we test the temporal properties of this polarity advantage by reversing the contrast of the target and flankers at four frequencies between 2 and 15 Hz. In the same polarity condition, target and distracters were all white in one frame but all black in the next. In the opposite polarity condition, the target was white and distracters black in one frame and all reversed in the next frame. Less crowding was seen for the opposite polarity condition at lower frequencies, but this advantage disappeared at 7.5 Hz and higher frequencies. In Experiment 2, we test whether this result can be explained by lateral masking, using a display that matched the crowding configuration. Lateral masking did not exhibit a polarity advantage at any frequency. Hence, the polarity advantage in crowding, and its loss at 6-8 Hz, cannot be attributed to lateral masking. It is known that attention has a coarse temporal resolution (6-8 Hz). The findings of this study suggest a role for attention in crowding, as opposed to low-level mechanisms like lateral masking.

Mesh:

Year:  2007        PMID: 18217826     DOI: 10.1167/7.2.11

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


  20 in total

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Journal:  J Vis       Date:  2015       Impact factor: 2.240

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Authors:  Susana T L Chung
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Authors:  Tal Makovski; Yuhong V Jiang
Journal:  J Exp Psychol Hum Percept Perform       Date:  2009-12       Impact factor: 3.332

8.  Contrast polarity differences reduce crowding but do not benefit reading performance in peripheral vision.

Authors:  Susana T L Chung; J Stephen Mansfield
Journal:  Vision Res       Date:  2009-08-18       Impact factor: 1.886

9.  Bilateral field advantage in visual crowding.

Authors:  Ramakrishna Chakravarthi; Patrick Cavanagh
Journal:  Vision Res       Date:  2009-04-10       Impact factor: 1.886

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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