Perceptual learning in humans: an active, top-down guided process

Abstract

DNN models of human-like vision are typically built by feeding blank slate DNNs visual images as training data. However, the literature on human perception and perceptual learning suggests that developing DNNs that truly model human vision requires a shift in approach in which perception is not treated as a largely bottom-up process, but as an active, top-down guided process.