visual working memory computational model ensemble effects
Abstract:
Visual working memory (VWM) is a complex process of encoding, storing, and retrieving visual information. To better understand this process, researchers have designed models to describe the mechanisms of VWM. The two prevalent models assume that information is either stored in discrete slots or as a function of a limited pool of resources. However, these models and others fail to provide an explicit mechanism explaining how items can be encoded and retrieved individually, yet are subject to interactions with other items in VWM. The model that I am proposing, called the Binding Pool model, formulates a mechanism for indexing a resource pool. The Binding Pool model utilizes a Type/Token architecture to differentiate items that are stored in the connecting region called the binding pool. This particular architecture provides a clear framework for exploring VWM tasks, such as the change detection and continuous report paradigms, and can be used to predict behavior in a variety of task manipulations. The thesis will specifically cover three modifications to the Binding Pool model and a set of predictions.
