Perceptual learning in humans: An active, top-down-guided process
Heleen A. Slagter
Behavioral and Brain Sciences1/1/2023·DOI·Read paper
Abstract
Deep neural network (DNN) models of human-like vision are typically built by feeding blank slate DNN 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.
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