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

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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.

Original languageEnglish
Article numbere406
Number of pages4
JournalThe Behavioral and brain sciences
Volume46
Early online date6 Dec 2023
DOIs
Publication statusPublished - 2023

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