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Object recognition in clutter: cortical responses depend on the type of learning

Overview of attention for article published in Frontiers in Human Neuroscience, January 2012
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Title
Object recognition in clutter: cortical responses depend on the type of learning
Published in
Frontiers in Human Neuroscience, January 2012
DOI 10.3389/fnhum.2012.00170
Pubmed ID
Authors

Jay Hegdé, Serena K. Thompson, Mark Brady, Daniel Kersten

Abstract

Theoretical studies suggest that the visual system uses prior knowledge of visual objects to recognize them in visual clutter, and posit that the strategies for recognizing objects in clutter may differ depending on whether or not the object was learned in clutter to begin with. We tested this hypothesis using functional magnetic resonance imaging (fMRI) of human subjects. We trained subjects to recognize naturalistic, yet novel objects in strong or weak clutter. We then tested subjects' recognition performance for both sets of objects in strong clutter. We found many brain regions that were differentially responsive to objects during object recognition depending on whether they were learned in strong or weak clutter. In particular, the responses of the left fusiform gyrus (FG) reliably reflected, on a trial-to-trial basis, subjects' object recognition performance for objects learned in the presence of strong clutter. These results indicate that the visual system does not use a single, general-purpose mechanism to cope with clutter. Instead, there are two distinct spatial patterns of activation whose responses are attributable not to the visual context in which the objects were seen, but to the context in which the objects were learned.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Germany 1 2%
Switzerland 1 2%
Unknown 38 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 24%
Student > Ph. D. Student 10 24%
Student > Master 6 15%
Professor > Associate Professor 4 10%
Student > Doctoral Student 2 5%
Other 5 12%
Unknown 4 10%
Readers by discipline Count As %
Psychology 15 37%
Agricultural and Biological Sciences 4 10%
Medicine and Dentistry 4 10%
Neuroscience 3 7%
Computer Science 2 5%
Other 6 15%
Unknown 7 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 June 2012.
All research outputs
#20,165,369
of 22,675,759 outputs
Outputs from Frontiers in Human Neuroscience
#6,513
of 7,114 outputs
Outputs of similar age
#221,176
of 244,088 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#273
of 294 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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