Chris Donkin, University of New South Wales

Slot Models of Visual Working Memory

Discrete-slot models of visual working memory are popular, despite their extraordinary claims. This talk will outline two projects that each demonstrate severe violations of the principles that underlie discrete-slot models. The first project shows that the quality of memory representations vary as a function of memory load. The second project shows that the number of items stored in memory depends on the complexity of the visual stimulus. The talk will finish with a brief description of a model of visual working memory that does account for existing data - a continuous-resource model that sometimes fails to store all items in memory.

Organized by

John-Dylan Haynes / Chang Yan