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Knowledge is power: How conceptual knowledge transforms visual cognition

Overview of attention for article published in Psychonomic Bulletin & Review, January 2014
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Title
Knowledge is power: How conceptual knowledge transforms visual cognition
Published in
Psychonomic Bulletin & Review, January 2014
DOI 10.3758/s13423-013-0564-3
Pubmed ID
Authors

Jessica A. Collins, Ingrid R. Olson

Abstract

In this review, we synthesize the existing literature demonstrating the dynamic interplay between conceptual knowledge and visual perceptual processing. We consider two theoretical frameworks that demonstrate interactions between processes and brain areas traditionally considered perceptual or conceptual. Specifically, we discuss categorical perception, in which visual objects are represented according to category membership, and highlight studies showing that category knowledge can penetrate early stages of visual analysis. We next discuss the embodied account of conceptual knowledge, which holds that concepts are instantiated in the same neural regions required for specific types of perception and action, and discuss the limitations of this framework. We additionally consider studies showing that gaining abstract semantic knowledge about objects and faces leads to behavioral and electrophysiological changes that are indicative of more efficient stimulus processing. Finally, we consider the role that perceiver goals and motivation may play in shaping the interaction between conceptual and perceptual processing. We hope to demonstrate how pervasive such interactions between motivation, conceptual knowledge, and perceptual processing are in our understanding of the visual environment, and to demonstrate the need for future research aimed at understanding how such interactions arise in the brain.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
France 2 1%
Spain 2 1%
United Kingdom 2 1%
Germany 1 <1%
Netherlands 1 <1%
China 1 <1%
Unknown 162 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 29%
Researcher 22 13%
Student > Bachelor 19 11%
Student > Master 12 7%
Professor 12 7%
Other 37 21%
Unknown 21 12%
Readers by discipline Count As %
Psychology 87 50%
Neuroscience 16 9%
Philosophy 8 5%
Agricultural and Biological Sciences 7 4%
Social Sciences 5 3%
Other 22 13%
Unknown 29 17%