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Rapid Transfer of Abstract Rules to Novel Contexts in Human Lateral Prefrontal Cortex

Overview of attention for article published in Frontiers in Human Neuroscience, January 2011
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Title
Rapid Transfer of Abstract Rules to Novel Contexts in Human Lateral Prefrontal Cortex
Published in
Frontiers in Human Neuroscience, January 2011
DOI 10.3389/fnhum.2011.00142
Pubmed ID
Authors

Michael W. Cole, Joset A. Etzel, Jeffrey M. Zacks, Walter Schneider, Todd S. Braver

Abstract

Flexible, adaptive behavior is thought to rely on abstract rule representations within lateral prefrontal cortex (LPFC), yet it remains unclear how these representations provide such flexibility. We recently demonstrated that humans can learn complex novel tasks in seconds. Here we hypothesized that this impressive mental flexibility may be possible due to rapid transfer of practiced rule representations within LPFC to novel task contexts. We tested this hypothesis using functional MRI and multivariate pattern analysis, classifying LPFC activity patterns across 64 tasks. Classifiers trained to identify abstract rules based on practiced task activity patterns successfully generalized to novel tasks. This suggests humans can transfer practiced rule representations within LPFC to rapidly learn new tasks, facilitating cognitive performance in novel circumstances.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Germany 1 <1%
United Kingdom 1 <1%
France 1 <1%
Spain 1 <1%
Canada 1 <1%
Unknown 136 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 34%
Researcher 27 19%
Student > Bachelor 11 8%
Student > Master 10 7%
Professor 7 5%
Other 16 11%
Unknown 24 17%
Readers by discipline Count As %
Psychology 56 39%
Neuroscience 29 20%
Agricultural and Biological Sciences 13 9%
Medicine and Dentistry 5 3%
Computer Science 4 3%
Other 5 3%
Unknown 31 22%
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 05 August 2015.
All research outputs
#16,452,494
of 24,226,848 outputs
Outputs from Frontiers in Human Neuroscience
#5,454
of 7,440 outputs
Outputs of similar age
#147,747
of 187,937 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#79
of 118 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,440 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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 187,937 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
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 is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.