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Article: Characterizing global and local mechanisms in biological motion perception

TitleCharacterizing global and local mechanisms in biological motion perception
Authors
KeywordsDetection
Biological motion
Local
Learning
Direction discrimination
Global
Issue Date2009
Citation
Journal of Vision, 2009, v. 9, n. 5 How to Cite?
AbstractThe perception of biological motion is subserved by both a global process that retrieves structural information and a local process that is sensitive to individual limb motions. Here, we present an experiment aimed to characterize these two mechanisms psychophysically. Naive observers were tested on one of two tasks. In a walker detection task designed to address global processing, observers were asked to discriminate coherent from scrambled walkers presented in separate intervals. In an alternate direction discrimination task designed to address primarily local processing, observers were asked to discriminate walking direction from both coherent and spatially scrambled displays. In both tasks, we investigated performance-specificity to human (versus non-human) motion and the effects of mask density and learning on task performance. Performance in the walker detection task was best for the human walker, was susceptible to learning, and was heavily hindered by increasing mask densities. In contrast, performance on the direction discrimination task, in particular for the scrambled walkers, was unaffected by walker type, did not show a learning trend, and was relatively robust to masking noise. These findings suggest that the visual system processes global and local information contained in biological motion via distinct neural mechanisms that have very different properties. © ARVO.
Persistent Identifierhttp://hdl.handle.net/10722/242605
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChang, Dorita H F-
dc.contributor.authorTroje, Nikolaus F.-
dc.date.accessioned2017-08-10T10:51:06Z-
dc.date.available2017-08-10T10:51:06Z-
dc.date.issued2009-
dc.identifier.citationJournal of Vision, 2009, v. 9, n. 5-
dc.identifier.urihttp://hdl.handle.net/10722/242605-
dc.description.abstractThe perception of biological motion is subserved by both a global process that retrieves structural information and a local process that is sensitive to individual limb motions. Here, we present an experiment aimed to characterize these two mechanisms psychophysically. Naive observers were tested on one of two tasks. In a walker detection task designed to address global processing, observers were asked to discriminate coherent from scrambled walkers presented in separate intervals. In an alternate direction discrimination task designed to address primarily local processing, observers were asked to discriminate walking direction from both coherent and spatially scrambled displays. In both tasks, we investigated performance-specificity to human (versus non-human) motion and the effects of mask density and learning on task performance. Performance in the walker detection task was best for the human walker, was susceptible to learning, and was heavily hindered by increasing mask densities. In contrast, performance on the direction discrimination task, in particular for the scrambled walkers, was unaffected by walker type, did not show a learning trend, and was relatively robust to masking noise. These findings suggest that the visual system processes global and local information contained in biological motion via distinct neural mechanisms that have very different properties. © ARVO.-
dc.languageeng-
dc.relation.ispartofJournal of Vision-
dc.subjectDetection-
dc.subjectBiological motion-
dc.subjectLocal-
dc.subjectLearning-
dc.subjectDirection discrimination-
dc.subjectGlobal-
dc.titleCharacterizing global and local mechanisms in biological motion perception-
dc.typeArticle-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1167/9.5.8-
dc.identifier.pmid19757886-
dc.identifier.scopuseid_2-s2.0-65649118163-
dc.identifier.volume9-
dc.identifier.issue5-
dc.identifier.spagenull-
dc.identifier.epagenull-
dc.identifier.eissn1534-7362-
dc.identifier.isiWOS:000267288600008-
dc.identifier.issnl1534-7362-

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