Modeling visual working memory with the MemToolbox

Jordan W. Suchow, Timothy F. Brady, Daryl Fougnie, George A. Alvarez

    Research output: Contribution to journalArticle

    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.

    Original languageEnglish (US)
    Article number9
    JournalJournal of vision
    Volume13
    Issue number10
    DOIs
    StatePublished - Oct 29 2013

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    Keywords

    • Mixture models
    • Model comparison
    • Visual working memory

    ASJC Scopus subject areas

    • Ophthalmology
    • Sensory Systems

    Cite this

    Suchow, J. W., Brady, T. F., Fougnie, D., & Alvarez, G. A. (2013). Modeling visual working memory with the MemToolbox. Journal of vision, 13(10), [9]. https://doi.org/10.1167/13.10.9

    Modeling visual working memory with the MemToolbox. / Suchow, Jordan W.; Brady, Timothy F.; Fougnie, Daryl; Alvarez, George A.

    In: Journal of vision, Vol. 13, No. 10, 9, 29.10.2013.

    Research output: Contribution to journalArticle

    Suchow, JW, Brady, TF, Fougnie, D & Alvarez, GA 2013, 'Modeling visual working memory with the MemToolbox', Journal of vision, vol. 13, no. 10, 9. https://doi.org/10.1167/13.10.9
    Suchow JW, Brady TF, Fougnie D, Alvarez GA. Modeling visual working memory with the MemToolbox. Journal of vision. 2013 Oct 29;13(10). 9. https://doi.org/10.1167/13.10.9
    Suchow, Jordan W. ; Brady, Timothy F. ; Fougnie, Daryl ; Alvarez, George A. / Modeling visual working memory with the MemToolbox. In: Journal of vision. 2013 ; Vol. 13, No. 10.
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