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Selection history: How reward modulates selectivity of visual attention

Overview of attention for article published in Psychonomic Bulletin & Review, October 2017
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Title
Selection history: How reward modulates selectivity of visual attention
Published in
Psychonomic Bulletin & Review, October 2017
DOI 10.3758/s13423-017-1380-y
Pubmed ID
Authors

Michel Failing, Jan Theeuwes

Abstract

Visual attention enables us to selectively prioritize or suppress information in the environment. Prominent models concerned with the control of visual attention differentiate between goal-directed, top-down and stimulus-driven, bottom-up control, with the former determined by current selection goals and the latter determined by physical salience. In the current review, we discuss recent studies that demonstrate that attentional selection does not need to be the result of top-down or bottom-up processing but, instead, is often driven by lingering biases due to the "history" of former attention deployments. This review mainly focuses on reward-based history effects; yet other types of history effects such as (intertrial) priming, statistical learning and affective conditioning are also discussed. We argue that evidence from behavioral, eye-movement and neuroimaging studies supports the idea that selection history modulates the topographical landscape of spatial "priority" maps, such that attention is biased toward locations having the highest activation on this map.

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The data shown below were compiled from readership statistics for 382 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 382 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 74 19%
Student > Master 52 14%
Student > Bachelor 44 12%
Researcher 33 9%
Student > Postgraduate 24 6%
Other 49 13%
Unknown 106 28%
Readers by discipline Count As %
Psychology 172 45%
Neuroscience 48 13%
Agricultural and Biological Sciences 5 1%
Computer Science 5 1%
Social Sciences 5 1%
Other 32 8%
Unknown 115 30%