Skip to main navigation Skip to search Skip to main content

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

Research output: Contribution to JournalReview articleAcademicpeer-review

65 Downloads (Pure)

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

Funding

H. A. S. is supported by a consolidator ERC grant \u201CPlasticityOfMind\u201D (101002584).

FundersFunder number
European Research Council
Horizon 2020 Framework Programme101002584

    Fingerprint

    Dive into the research topics of 'Perceptual learning in humans: An active, top-down-guided process'. Together they form a unique fingerprint.

    Cite this