Document Detail


Relative weights for frequency glide detection using narrowband noise.
MedLine Citation:
PMID:  18529188     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Narrowband noise stimuli were used to derive relative weights for detecting frequency glides in a yes/no procedure. One stimulus set was restricted to the duration of the glide. For the second stimulus set, there were fringe noise bands preceding and following the glide. For both sets, the center frequency of the linear glide was either fixed at 1000 Hz or randomly chosen on each trial from the range of 800-1200 Hz. Relative weights as a function of time were derived using a linear model and the linear classification method [A. Ahumada, J. Vis., 2, 121-131 (2002)]. Sensitivity was better for the fixed- than random-frequency conditions, and weight patterns from the random-frequency conditions were less reliable than those obtained from the fixed-frequency conditions. The magnitudes of the relative weights tended to be larger for the second half of the stimulus, suggesting that subjects paid more attention to the later than the earlier parts of stimuli. In the random-frequency conditions, the linear model failed to account for subjects' performance unless the stimuli were expressed in terms of relative changes in frequency rather than absolute frequency.
Authors:
Jinyu Qian; Virginia M Richards
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural    
Journal Detail:
Title:  The Journal of the Acoustical Society of America     Volume:  123     ISSN:  1520-8524     ISO Abbreviation:  J. Acoust. Soc. Am.     Publication Date:  2008 May 
Date Detail:
Created Date:  2008-06-05     Completed Date:  2008-08-20     Revised Date:  2009-11-18    
Medline Journal Info:
Nlm Unique ID:  7503051     Medline TA:  J Acoust Soc Am     Country:  United States    
Other Details:
Languages:  eng     Pagination:  2692-700     Citation Subset:  IM    
Affiliation:
Department of Psychology, 3401 Walnut Street, Suite 302C, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. qianj@sas.upenn.edu
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MeSH Terms
Descriptor/Qualifier:
Attention*
Auditory Threshold*
Humans
Mathematics
Models, Biological
Noise*
Perceptual Masking
Psychoacoustics
Radio Waves*
Sensitivity and Specificity
Sound Localization
Grant Support
ID/Acronym/Agency:
R01 DC002012/DC/NIDCD NIH HHS
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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