Deep artificial neural networks as models of vision and visual memory

Nicole Rust will discuss the contributions of deep artificial neural networks (DANNs) to our understanding of visual cortical function. Work over the past twenty years has demonstrated striking parallels between DANNs trained to categorize objects and the functional organization of the primate ventral visual pathway. Nicole will describe recent work showing that DANNs serve not only as models for object identification, but also extend to other visual behaviors including ‘image memorability’, or the variation with which some images are better remembered than others.