Document Detail


Evaluating dedicated and intrinsic models of temporal encoding by varying context.
MedLine Citation:
PMID:  19487188     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Two general classes of models have been proposed to account for how people process temporal information in the milliseconds range. Dedicated models entail a mechanism in which time is explicitly encoded; examples include clock-counter models and functional delay lines. Intrinsic models, such as state-dependent networks (SDN), represent time as an emergent property of the dynamics of neural processing. An important property of SDN is that the encoding of duration is context dependent since the representation of an interval will vary as a function of the initial state of the network. Consistent with this assumption, duration discrimination thresholds for auditory intervals spanning 100 ms are elevated when an irrelevant tone is presented at varying times prior to the onset of the test interval. We revisit this effect in two experiments, considering attentional issues that may also produce such context effects. The disruptive effect of a variable context was eliminated or attenuated when the intervals between the irrelevant tone and test interval were made dissimilar or the duration of the test interval was increased to 300 ms. These results indicate how attentional processes can influence the perception of brief intervals, as well as point to important constraints for SDN models.
Authors:
Rebecca M C Spencer; Uma Karmarkar; Richard B Ivry
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Review    
Journal Detail:
Title:  Philosophical transactions of the Royal Society of London. Series B, Biological sciences     Volume:  364     ISSN:  1471-2970     ISO Abbreviation:  Philos. Trans. R. Soc. Lond., B, Biol. Sci.     Publication Date:  2009 Jul 
Date Detail:
Created Date:  2009-06-02     Completed Date:  2009-08-27     Revised Date:  2010-09-24    
Medline Journal Info:
Nlm Unique ID:  7503623     Medline TA:  Philos Trans R Soc Lond B Biol Sci     Country:  England    
Other Details:
Languages:  eng     Pagination:  1853-63     Citation Subset:  IM    
Affiliation:
Department of Psychology, University of Massachusetts Amherst, Amherst, MA 01003, USA.
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MeSH Terms
Descriptor/Qualifier:
Brain / physiology*
Humans
Models, Neurological*
Psychophysics
Time Perception / physiology*
Grant Support
ID/Acronym/Agency:
AG 29710/AG/NIA NIH HHS; F32 NS 048012/NS/NINDS NIH HHS; HD 060306/HD/NICHD NIH HHS
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