Modeling visual working memory with the MemToolbox | Zendy

Jordan W. Suchow | Zendy; Timothy F. Brady | Zendy; Daryl Fougnie | Zendy; George A. Alvarez | Zendy

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Modeling visual working memory with the MemToolbox

Author(s) -

Jordan W. Suchow,

Timothy F. Brady,

Daryl Fougnie,

George A. Alvarez

Publication year - 2013

Publication title -

journal of vision

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.126

H-Index - 113

ISSN - 1534-7362

DOI - 10.1167/13.10.9

Subject(s) - computer science , suite , toolbox , scripting language , matlab , license , visualization , memory model , bayesian probability , working memory , data mining , artificial intelligence , machine learning , programming language , shared memory , computer hardware , operating system , cognition , archaeology , neuroscience , biology , history

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.

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