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Getting to know you: general and specific neural computations for learning about people

Overview of attention for article published in Social Cognitive & Affective Neuroscience, December 2015
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Article details
Title
Getting to know you: general and specific neural computations for learning about people
Published in
Social Cognitive & Affective Neuroscience, December 2015
DOI 10.1093/scan/nsv145
Pubmed ID
Authors
Abstract

Learning about other people's attributes, e.g. whether an individual is generous or selfish, is central to human social cognition. It is well documented that a network of cortical regions is reliably activated when we engage social processes. However, little is known about the specific computations performed by these regions or whether such processing is specialized for the social domain. We investigated these questions using a task in which participants (N=26) learned about four peoples' generosity by watching them choose to share money with 3(rd) party partners, or not. In a nonsocial control condition, participants learned the win/loss rates of four lotteries. fMRI analysis revealed learning-related general (social+nonsocial) prediction error signals in the dorsomedial and dorsolateral prefrontal cortices (bilaterally), and in the right lateral parietal cortex. Socially-specific (social>nonsocial) prediction error signals were found in the precuneus. Interestingly, the region that exhibited social prediction errors was a distinct subregion of the area in the precuneus and posterior cingulate cortex that exhibited a commonly reported main effect of higher overall activity for social versus nonsocial stimuli. These findings elucidate the domain -general and -specific computations underlying learning about other people and demonstrate the increased explanatory power of computational approaches to social cognition.

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X Demographics

X Demographics

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 1 1%
Unknown 86 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 25 29%
Researcher 12 14%
Student > Master 10 11%
Student > Bachelor 6 7%
Other 4 5%
Other 11 13%
Unknown 19 22%
Readers by discipline
Readers by discipline Count As %
Psychology 42 48%
Neuroscience 7 8%
Social Sciences 5 6%
Agricultural and Biological Sciences 2 2%
Philosophy 1 1%
Other 5 6%
Unknown 25 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 April 2016.
All research outputs
#22,043,262
of 34,364,397 outputs
Outputs from Social Cognitive & Affective Neuroscience
#1,309
of 1,979 outputs
Outputs of similar age
#263,396
of 443,362 outputs
Outputs of similar age from Social Cognitive & Affective Neuroscience
#22
of 34 outputs
Altmetric has tracked 34,364,397 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,979 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.8. This one is in the 32nd percentile – i.e., 32% 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 443,362 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.