Feature saliency and feedback information interactively impact visual category learning

Visual category learning (VCL) involves detecting which features are most relevant for categorization. VCL relies on attentional learning, which enables effectively redirecting attention to object’s features most relevant for categorization, while ‘filtering out’ irrelevant features. When features r...

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Shranjeno v:
Bibliografske podrobnosti
izdano v:Front Psychol
Main Authors: Hammer, Rubi, Sloutsky, Vladimir, Grill-Spector, Kalanit
Format: Artigo
Jezik:Inglês
Izdano: Frontiers Media S.A. 2015
Teme:
Psychology
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC4333777/
https://ncbi.nlm.nih.gov/pubmed/25745404
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fpsyg.2015.00074
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