Literature DB >> 22101017

Multiple levels of orientation anisotropy in crowding with Gabor flankers.

Tomer Livne1, Dov Sagi.   

Abstract

Using oriented Gabor patches, we found that for nearly cardinal target orientations, oblique flankers' orientations induced more interference than did cardinal flankers' orientations. This pattern was observed both at the local and global levels of flankers' orientation. With respect to the global orientation (flankers' global arrangement around the target), there was no difference between the effects of the two cardinal orientations, and both induced the same amount of interference. With respect to the local orientation (Gabors' orientation), in accordance with previous reports, a difference was found between the effects of the two cardinal orientations--a considerable amount of interference with flankers equal in orientation to the target (although less than with the oblique flankers) and almost no interference from flankers orthogonal to the target. Crowding was also affected by an anisotropy based on the target-fixation axis (radial, tangential, and diagonal) and by the flankers' relations. The magnitude of these latter factors was small relative to that of the former ones. The multiple factors that affected crowding, as well as the similarities and the differences between the effects at the two orientation levels, suggest that crowding is determined by multiple sources of interference operating at several levels of representation.

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Year:  2011        PMID: 22101017     DOI: 10.1167/11.13.18

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


  9 in total

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Authors:  Emily R Weichart; Per B Sederberg
Journal:  Atten Percept Psychophys       Date:  2020-10-20       Impact factor: 2.199

2.  Electrophysiological evidence for failures of item individuation in crowded visual displays.

Authors:  David E Anderson; Edward F Ester; Daniel Klee; Edward K Vogel; Edward Awh
Journal:  J Cogn Neurosci       Date:  2014-04-16       Impact factor: 3.225

3.  Visual crowding illustrates the inadequacy of local vs. global and feedforward vs. feedback distinctions in modeling visual perception.

Authors:  Aaron M Clarke; Michael H Herzog; Gregory Francis
Journal:  Front Psychol       Date:  2014-10-21

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Journal:  PLoS Comput Biol       Date:  2019-05-15       Impact factor: 4.475

5.  Beyond Bouma's window: How to explain global aspects of crowding?

Authors:  Adrien Doerig; Alban Bornet; Ruth Rosenholtz; Gregory Francis; Aaron M Clarke; Michael H Herzog
Journal:  PLoS Comput Biol       Date:  2019-05-10       Impact factor: 4.475

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

7.  Typical magnitude and spatial extent of crowding in autism.

Authors:  Jan Freyberg; Caroline E Robertson; Simon Baron-Cohen
Journal:  J Vis       Date:  2016       Impact factor: 2.240

8.  The crowding factor method applied to parafoveal vision.

Authors:  Saeideh Ghahghaei; Laura Walker
Journal:  J Vis       Date:  2016-09-01       Impact factor: 2.240

9.  The generality of the critical spacing for crowded optotypes: From Bouma to the 21st century.

Authors:  Daniel R Coates; Charles J H Ludowici; Susana T L Chung
Journal:  J Vis       Date:  2021-10-05       Impact factor: 2.240

  9 in total

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