| Retroactive adjustment of perceived time. | |
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MedLine Citation:
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PMID: 21093855 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Accurately timing acoustic events in dynamic scenes is fundamental to scene analysis. To detect events in busy scenes, listeners must often identify a change in the pattern of ongoing fluctuation, resulting in many ubiquitous events being detected later than when they occurred. This raises the question of how delayed detection time affects the manner in which such events are perceived relative to other events in the environment. To model these situations, we use sequences of tone-pips with a time-frequency pattern that changes from regular to random ('REG-RAND') or vice versa ('RAND-REG'). REG-RAND transitions are detected rapidly, but the emergence of regularity cannot be established immediately, and thus RAND-REG transitions take significantly longer to detect. Using a temporal order judgment task, and a light-flash as a temporal marker, we demonstrate that listeners do not perceive the onset of RAND-REG transitions at the point of detection (∼530ms post transition), but automatically re-adjust their estimate ∼300ms closer to the nominal transition. These results demonstrate that the auditory system possesses mechanisms that survey the proximal history of an ongoing stimulus and automatically adjust perception to compensate for prolonged detection time, allowing listeners to build meaningful representations of the environment. |
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Authors:
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Minal Patel; Maria Chait |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2010-11-18 |
Journal Detail:
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Title: Cognition Volume: - ISSN: 1873-7838 ISO Abbreviation: Cognition Publication Date: 2010 Nov |
Date Detail:
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Created Date: 2010-11-24 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0367541 Medline TA: Cognition Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2010 Elsevier B.V. All rights reserved. |
Affiliation:
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UCL Ear Institute, 332 Gray's Inn Road, London WC1X 8EE, UK. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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