| Visual apparent motion can be modulated by task-irrelevant lexical information. | |
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MedLine Citation:
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PMID: 21264743 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Previous studies have repeatedly demonstrated the impact of Gestalt structural grouping principles upon the parsing of motion correspondence in ambiguous apparent motion. Here, by embedding Chinese characters in a visual Ternus display that comprised two stimulus frames, we showed that the perception of visual apparent motion can be modulated by activation of task-irrelevant lexical representations. Each frame had two disks, with the second disk of the first frame and the first disk of the second frame being presented at the same location. Observers could perceive either "element motion," in which the endmost disk is seen as moving back and forth while the middle disk at the central position remains stationary, or "group motion," in which both disks appear to move laterally as a whole. More reports of group motion, as opposed to element motion, were obtained when the embedded characters formed two-character compound words than when they formed nonwords, although this lexicality effect appeared to be attenuated by the use of the same characters at the overlapping position across the two frames. Thus, grouping of visual elements in a changing world can be guided by both structural principles and prior world knowledge, including lexical information. |
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Authors:
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Lihan Chen; Xiaolin Zhou |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-1-15 |
Journal Detail:
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Title: Attention, perception, & psychophysics Volume: - ISSN: 1943-393X ISO Abbreviation: - Publication Date: 2011 Jan |
Date Detail:
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Created Date: 2011-1-25 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101495384 Medline TA: Atten Percept Psychophys Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Center for Brain and Cognitive Sciences and Department of Psychology, Peking University, Beijing, China. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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