Dissecting (un)crowding
Publication year
2021Number of pages
20 p.
Source
Journal of Vision, 21, 10, (2021), article 10ISSN
Publication type
Article / Letter to editor

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Organization
SW OZ DCC AI
Journal title
Journal of Vision
Volume
vol. 21
Issue
iss. 10
Languages used
English (eng)
Subject
Cognitive artificial intelligenceAbstract
In crowding, perception of a target deteriorates in the presence of nearby flankers. Surprisingly, perception can be rescued from crowding if additional flankers are added (uncrowding). Uncrowding is a major challenge for all classic models of crowding and vision in general, because the global configuration of the entire stimulus is crucial. However, it is unclear which characteristics of the configuration impact (un)crowding. Here, we systematically dissected flanker configurations and showed that (un)crowding cannot be easily explained by the effects of the sub-parts or low-level features of the stimulus configuration. Our modeling results suggest that (un)crowding requires global processing. These results are well in line with previous studies showing the importance of global aspects in crowding.
This item appears in the following Collection(s)
- Academic publications [227881]
- Electronic publications [107344]
- Faculty of Social Sciences [28470]
- Open Access publications [76465]
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