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dc.contributor.authorSuchow, Jordan William
dc.contributor.authorBrady, Timothy Francis
dc.contributor.authorFougnie, Daryl
dc.contributor.authorAlvarez, George Angelo
dc.date.accessioned2014-06-17T19:16:05Z
dc.date.issued2013
dc.identifier.citationSuchow, Jordan W., Timothy F. Brady, Daryl Fougnie, and George A. Alvarez. 2013. Modeling Visual Working Memory with the MemToolbox. Journal of Vision 13, no. 10: 9.en_US
dc.identifier.issn1534-7362en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:12331821
dc.description.abstractThe MemToolbox is a collection of MATLAB functions for modeling visual working memory. In support of its goal to provide a full suite of data analysis tools, the toolbox includes implementations of popular models of visual working memory, real and simulated data sets, Bayesian and maximum likelihood estimation procedures for fitting models to data, visualizations of data and fit, validation routines, model comparison metrics, and experiment scripts. The MemToolbox is released under the permissive BSD license and is available at http://memtoolbox.org.en_US
dc.description.sponsorshipPsychologyen_US
dc.language.isoen_USen_US
dc.publisherAssociation for Research in Vision and Ophthalmology (ARVO)en_US
dc.relation.isversionofdoi:10.1167/13.10.9en_US
dash.licenseOAP
dc.subjectvisual working memoryen_US
dc.subjectmixture modelsen_US
dc.subjectmodel comparisonen_US
dc.titleModeling Visual Working Memory with the MemToolboxen_US
dc.typeJournal Articleen_US
dc.description.versionAccepted Manuscripten_US
dc.relation.journalJournal of Visionen_US
dash.depositing.authorAlvarez, George Angelo
dc.date.available2014-06-17T19:16:05Z
dc.identifier.doi10.1167/13.10.9*
workflow.legacycommentsFAR 2014en_US
dash.contributor.affiliatedBrady, Timothy Francis
dash.contributor.affiliatedFougnie, Daryl
dash.contributor.affiliatedAlvarez, George
dash.contributor.affiliatedSuchow, Jordan


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