A Nonparametric Bayesian Model of Visual Short-Term Memory
Emin Orhan, Robert A. Jacobs · eScholarship (California Digital Library) · 2011
We present a nonparametric Bayesian model of the organization of visual short-term memory based on the Dirichlet process mixture model.Our model implements the idea that items in visual short-term memory can be encoded at multiple levels of abstraction, where the appropriate levels of abstraction and how much weight should be given to each level can be automatically determined.A capacity limit is implemented in this model by favoring small numbers of clusters of items.We show that various biases and distortions reported in visual short-term recall and recognition memory literatures can be quite naturally and elegantly explained by the model.