Feature-saliency and feedback-information interactively impact visual category learning

Feature-saliency and feedback-information interactively impact visual category learning

Visual category learning (VCL) involves detecting which features are most relevant for categorization. This requires attentional learning, which allows effectively redirecting attention to object’s features most relevant for categorization while also filtering out irrelevant features. When features...

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Bibliographic Details
Main Authors: Rubi eHammer, Vladimir eSloutsky, Kalanit eGrill-Spector
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-02-01
Series:Frontiers in Psychology
Subjects:
Visual Perception
Categorization
Perceptual Learning
Attentional Learning
category learning
feedback processing
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpsyg.2015.00074/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fpsyg.2015.00074/full

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