
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.
Neurons, Time Factors, Statistics as Topic, 150, Bayes Theorem, Signal Processing, Computer-Assisted, Models, Theoretical, 004, visual working memory, Memory, Short-Term, model comparison, Animals, Humans, Neural Networks, Computer, mixture models, Software
Neurons, Time Factors, Statistics as Topic, 150, Bayes Theorem, Signal Processing, Computer-Assisted, Models, Theoretical, 004, visual working memory, Memory, Short-Term, model comparison, Animals, Humans, Neural Networks, Computer, mixture models, Software
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 195 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
