title: Modeling visual working memory with the MemToolbox.
abstract: The 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.
authors: Department of Psychology, Harvard University, Cambridge, MA, USA. suchow@post.harvard.edu
authors: Jordan W
authors: JW
authors: Suchow
authors: Timothy F
authors: TF
authors: Brady
authors: Daryl
authors: D
authors: Fougnie
authors: George A
authors: GA
authors: Alvarez
mesh_terms: D000818:Animals; D001499:Bayes Theorem; D006801:Humans; D008570:Memory, Short-Term / Q000502:physiology*; D008962:Models, Theoretical; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D012984:Software; D013223:Statistics as Topic / Q000379:methods*; D013997:Time Factors
keywords: mixture models; model comparison; visual working memory
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