2013
DOI: 10.1167/13.13.10
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When crowding of crowding leads to uncrowding

Abstract: In object recognition, features are thought to be processed in a hierarchical fashion from low-level analysis (edges and lines) to complex figural processing (shapes and objects). Here, we show that figural processing determines low-level processing. Vernier offset discrimination strongly deteriorated when we embedded a vernier in a square. This is a classic crowding effect. Surprisingly, crowding almost disappeared when additional squares were added. We propose that figural interactions between the squares pr… Show more

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Cited by 118 publications
(136 citation statements)
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References 44 publications
(55 reference statements)
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“…Gestalt approaches (21) argue that crowding occurs when the target is 'grouped' with the flankers, e.g. by forming a pattern with the flankers (44), and that it is reduced when the flankers form patterns that exclude the target (45). The topdown nature of grouping suggests that it should apply to the collection of features within the target as a whole, making it an allor-none process that is inconsistent with the dissociations we observe here.…”
Section: Discussioncontrasting
confidence: 59%
“…Gestalt approaches (21) argue that crowding occurs when the target is 'grouped' with the flankers, e.g. by forming a pattern with the flankers (44), and that it is reduced when the flankers form patterns that exclude the target (45). The topdown nature of grouping suggests that it should apply to the collection of features within the target as a whole, making it an allor-none process that is inconsistent with the dissociations we observe here.…”
Section: Discussioncontrasting
confidence: 59%
“…Whereas superb resolution is desirable in certain situations, it is not when the human brain needs to process wholes rather than parts. For example, we have shown that strong crowding disappears when the flankers ungroup from the target, e.g., by becoming part of a larger whole (Herzog et al, 2015;Malania et al, 2007;Manassi et al, 2012Manassi et al, , 2013Saarela et al, 2009;Sayim et al, 2010).…”
Section: Introductionmentioning
confidence: 94%
“…This is a classic crowding effect. Surprisingly, performance improved when more and more squares were added, extending beyond Bouma's window ( Figure 3C; [19 ], see also [20] in Figure 3D and [21]). …”
Section: Introductionmentioning
confidence: 97%