Learning-induced changes in attentional allocation during categorization: a sizable catalog of attention change as measured by eye movements.

Learning how to allocate attention properly is essential for success at many categorization tasks. Advances in our understanding of learned attention are stymied by a chicken-and-egg problem: there are no theoretical accounts of learned attention that predict patterns of eye movements, making data c...

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Bibliographic Details
Main Authors: Caitlyn M McColeman, Jordan I Barnes, Lihan Chen, Kimberly M Meier, R Calen Walshe, Mark R Blair
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3908863?pdf=render