Literature DB >> 23962734

Modeling visual working memory with the MemToolbox.

Jordan W Suchow1, Timothy F Brady, Daryl Fougnie, George A Alvarez.   

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.

Entities:  

Keywords:  mixture models; model comparison; visual working memory

Mesh:

Year:  2013        PMID: 23962734      PMCID: PMC4521709          DOI: 10.1167/13.10.9

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  20 in total

1.  The magical number 4 in short-term memory: a reconsideration of mental storage capacity.

Authors:  N Cowan
Journal:  Behav Brain Sci       Date:  2001-02       Impact factor: 12.579

2.  Delayed matching in the pigeon.

Authors:  D S BLOUGH
Journal:  J Exp Anal Behav       Date:  1959-04       Impact factor: 2.468

3.  An invariant form for the prior probability in estimation problems.

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4.  Variability in encoding precision accounts for visual short-term memory limitations.

Authors:  Ronald van den Berg; Hongsup Shin; Wen-Chuang Chou; Ryan George; Wei Ji Ma
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-11       Impact factor: 11.205

5.  Discrete fixed-resolution representations in visual working memory.

Authors:  Weiwei Zhang; Steven J Luck
Journal:  Nature       Date:  2008-04-02       Impact factor: 49.962

6.  A probabilistic model of visual working memory: Incorporating higher order regularities into working memory capacity estimates.

Authors:  Timothy F Brady; Joshua B Tenenbaum
Journal:  Psychol Rev       Date:  2012-12-10       Impact factor: 8.934

7.  How persuasive is a good fit? A comment on theory testing.

Authors:  S Roberts; H Pashler
Journal:  Psychol Rev       Date:  2000-04       Impact factor: 8.934

8.  An introduction to Bayesian hierarchical models with an application in the theory of signal detection.

Authors:  Jeffrey N Rouder; Jun Lu
Journal:  Psychon Bull Rev       Date:  2005-08

9.  Visual working memory represents a fixed number of items regardless of complexity.

Authors:  Edward Awh; Brian Barton; Edward K Vogel
Journal:  Psychol Sci       Date:  2007-07

10.  Bayesian model selection for group studies.

Authors:  Klaas Enno Stephan; Will D Penny; Jean Daunizeau; Rosalyn J Moran; Karl J Friston
Journal:  Neuroimage       Date:  2009-03-20       Impact factor: 6.556

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  63 in total

1.  The topography of alpha-band activity tracks the content of spatial working memory.

Authors:  Joshua J Foster; David W Sutterer; John T Serences; Edward K Vogel; Edward Awh
Journal:  J Neurophysiol       Date:  2015-10-14       Impact factor: 2.714

2.  Flexible Coding of Visual Working Memory Representations during Distraction.

Authors:  Elizabeth S Lorenc; Kartik K Sreenivasan; Derek E Nee; Annelinde R E Vandenbroucke; Mark D'Esposito
Journal:  J Neurosci       Date:  2018-05-08       Impact factor: 6.167

3.  Clear evidence for item limits in visual working memory.

Authors:  Kirsten C S Adam; Edward K Vogel; Edward Awh
Journal:  Cogn Psychol       Date:  2017-07-19       Impact factor: 3.468

4.  Alpha-band oscillations track the retrieval of precise spatial representations from long-term memory.

Authors:  David W Sutterer; Joshua J Foster; John T Serences; Edward K Vogel; Edward Awh
Journal:  J Neurophysiol       Date:  2019-06-12       Impact factor: 2.714

5.  Unexpected events disrupt visuomotor working memory and increase guessing.

Authors:  R Dawn Finzi; Bradley R Postle; Timothy F Brady; Adam R Aron
Journal:  Psychon Bull Rev       Date:  2018-04

6.  Object-Feature Binding Survives Dynamic Shifts of Spatial Attention.

Authors:  Emma Wu Dowd; Julie D Golomb
Journal:  Psychol Sci       Date:  2019-01-29

7.  Hippocampal CA1 gamma power predicts the precision of spatial memory judgments.

Authors:  Rebecca F Stevenson; Jie Zheng; Lilit Mnatsakanyan; Sumeet Vadera; Robert T Knight; Jack J Lin; Michael A Yassa
Journal:  Proc Natl Acad Sci U S A       Date:  2018-09-17       Impact factor: 11.205

8.  Strategic trade-offs between quantity and quality in working memory.

Authors:  Daryl Fougnie; Sarah M Cormiea; Anish Kanabar; George A Alvarez
Journal:  J Exp Psychol Hum Percept Perform       Date:  2016-03-07       Impact factor: 3.332

9.  Electrical Stimulation Over Human Posterior Parietal Cortex Selectively Enhances the Capacity of Visual Short-Term Memory.

Authors:  Sisi Wang; Sirawaj Itthipuripat; Yixuan Ku
Journal:  J Neurosci       Date:  2018-11-20       Impact factor: 6.167

10.  Stimulus-Specific Visual Working Memory Representations in Human Cerebellar Lobule VIIb/VIIIa.

Authors:  James A Brissenden; Sean M Tobyne; Mark A Halko; David C Somers
Journal:  J Neurosci       Date:  2020-11-19       Impact factor: 6.167

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