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Learning and Generalization under Ambiguity: An fMRI Study

Overview of attention for article published in PLoS Computational Biology, January 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
1 blog
twitter
7 X users

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
142 Mendeley
citeulike
7 CiteULike
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Title
Learning and Generalization under Ambiguity: An fMRI Study
Published in
PLoS Computational Biology, January 2012
DOI 10.1371/journal.pcbi.1002346
Pubmed ID
Authors

J. R. Chumbley, G. Flandin, D. R. Bach, J. Daunizeau, E. Fehr, R. J. Dolan, K. J. Friston

Abstract

Adaptive behavior often exploits generalizations from past experience by applying them judiciously in new situations. This requires a means of quantifying the relative importance of prior experience and current information, so they can be balanced optimally. In this study, we ask whether the brain generalizes in an optimal way. Specifically, we used Bayesian learning theory and fMRI to test whether neuronal responses reflect context-sensitive changes in ambiguity or uncertainty about experience-dependent beliefs. We found that the hippocampus expresses clear ambiguity-dependent responses that are associated with an augmented rate of learning. These findings suggest candidate neuronal systems that may be involved in aberrations of generalization, such as over-confidence.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 3%
France 4 3%
United States 2 1%
Japan 2 1%
Netherlands 1 <1%
Italy 1 <1%
Belgium 1 <1%
Germany 1 <1%
Switzerland 1 <1%
Other 1 <1%
Unknown 124 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 24%
Researcher 28 20%
Student > Master 14 10%
Student > Bachelor 12 8%
Student > Doctoral Student 10 7%
Other 35 25%
Unknown 9 6%
Readers by discipline Count As %
Psychology 42 30%
Neuroscience 28 20%
Agricultural and Biological Sciences 18 13%
Computer Science 9 6%
Social Sciences 7 5%
Other 24 17%
Unknown 14 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 10 October 2013.
All research outputs
#3,297,362
of 25,806,080 outputs
Outputs from PLoS Computational Biology
#2,873
of 9,043 outputs
Outputs of similar age
#25,137
of 253,333 outputs
Outputs of similar age from PLoS Computational Biology
#20
of 118 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has gotten more attention than average, scoring higher than 68% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 253,333 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.