MLP: A MATLAB toolbox for rapid and reliable auditory threshold estimation

Hdl Handle:
http://hdl.handle.net/10149/94576
Title:
MLP: A MATLAB toolbox for rapid and reliable auditory threshold estimation
Authors:
Grassi, M. (Massimo); Soranzo, A. (Alessandro)
Affiliation:
University of Teesside
Citation:
Grassi, M. and Soranzo, A. (2009) 'MLP: A MATLAB toolbox for rapid and reliable auditory threshold estimation', Behavior Research Methods, 41 (1), pp.20-28.
Publisher:
Psychonomic Society
Journal:
Behavior Research Methods
Issue Date:
Feb-2009
URI:
http://hdl.handle.net/10149/94576
DOI:
10.3758/BRM.41.1.20
Abstract:
In this article, we present MLP, a MATLAB toolbox enabling auditory thresholds estimation via the adaptive maximum likelihood procedure proposed by David Green (1990, 1993). This adaptive procedure is particularly appealing for those psychologists who need to estimate thresholds with a good degree of accuracy and in a short time. Together with a description of the toolbox, the present text provides an introduction to the threshold estimation theory and a theoretical explanation of the maximum likelihood adaptive procedure. MLP comes with a graphical interface, and it is provided with several built-in, classic psychoacoustics experiments ready to use at a mouse click.
Type:
Article
Language:
en
Keywords:
MATLAB; auditory thresholds estimation; maximum likelihood procedure; Green, David; psychological model; hearing
ISSN:
1554-351X; 1554-3528
Rights:
Author can archive post-print (ie final draft post-refereeing). For full details see http://www.sherpa.ac.uk/romeo/ [Accessed 19/03/2010]
Citation Count:
1 [Scopus, 19/03/2010]

Full metadata record

DC FieldValue Language
dc.contributor.authorGrassi, M. (Massimo)en
dc.contributor.authorSoranzo, A. (Alessandro)en
dc.date.accessioned2010-03-19T14:52:33Z-
dc.date.available2010-03-19T14:52:33Z-
dc.date.issued2009-02-
dc.identifier.citationBehavior Research Methods; 41 (1): 20-28en
dc.identifier.issn1554-351X-
dc.identifier.issn1554-3528-
dc.identifier.doi10.3758/BRM.41.1.20-
dc.identifier.urihttp://hdl.handle.net/10149/94576-
dc.description.abstractIn this article, we present MLP, a MATLAB toolbox enabling auditory thresholds estimation via the adaptive maximum likelihood procedure proposed by David Green (1990, 1993). This adaptive procedure is particularly appealing for those psychologists who need to estimate thresholds with a good degree of accuracy and in a short time. Together with a description of the toolbox, the present text provides an introduction to the threshold estimation theory and a theoretical explanation of the maximum likelihood adaptive procedure. MLP comes with a graphical interface, and it is provided with several built-in, classic psychoacoustics experiments ready to use at a mouse click.en
dc.language.isoenen
dc.publisherPsychonomic Societyen
dc.rightsAuthor can archive post-print (ie final draft post-refereeing). For full details see http://www.sherpa.ac.uk/romeo/ [Accessed 19/03/2010]en
dc.subjectMATLABen
dc.subjectauditory thresholds estimationen
dc.subjectmaximum likelihood procedureen
dc.subjectGreen, Daviden
dc.subjectpsychological modelen
dc.subjecthearingen
dc.titleMLP: A MATLAB toolbox for rapid and reliable auditory threshold estimationen
dc.typeArticleen
dc.contributor.departmentUniversity of Teessideen
dc.identifier.journalBehavior Research Methodsen
ref.citationcount1 [Scopus, 19/03/2010]en
or.citation.harvardGrassi, M. and Soranzo, A. (2009) 'MLP: A MATLAB toolbox for rapid and reliable auditory threshold estimation', Behavior Research Methods, 41 (1), pp.20-28.-
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