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...

Descripción completa

Detalles Bibliográficos
Autores principales: Hammer, Rubi, Sloutsky, Vladimir, Grill-Spector, Kalanit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Psychology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4333777/
https://www.ncbi.nlm.nih.gov/pubmed/25745404
http://dx.doi.org/10.3389/fpsyg.2015.00074

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4333777/
https://www.ncbi.nlm.nih.gov/pubmed/25745404
http://dx.doi.org/10.3389/fpsyg.2015.00074

Ejemplares similares