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Predictive coding: an account of the mirror neuron system

Overview of attention for article published in Cognitive Processing, April 2007
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#31 of 354)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
2 X users
wikipedia
3 Wikipedia pages
googleplus
1 Google+ user

Citations

dimensions_citation
868 Dimensions

Readers on

mendeley
1157 Mendeley
citeulike
5 CiteULike
Title
Predictive coding: an account of the mirror neuron system
Published in
Cognitive Processing, April 2007
DOI 10.1007/s10339-007-0170-2
Pubmed ID
Authors

James M. Kilner, Karl J. Friston, Chris D. Frith

Abstract

Is it possible to understand the intentions of other people by simply observing their actions? Many believe that this ability is made possible by the brain's mirror neuron system through its direct link between action and observation. However, precisely how intentions can be inferred through action observation has provoked much debate. Here we suggest that the function of the mirror system can be understood within a predictive coding framework that appeals to the statistical approach known as empirical Bayes. Within this scheme the most likely cause of an observed action can be inferred by minimizing the prediction error at all levels of the cortical hierarchy that are engaged during action observation. This account identifies a precise role for the mirror system in our ability to infer intentions from actions and provides the outline of the underlying computational mechanisms.

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 1,157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 17 1%
Germany 11 <1%
United States 9 <1%
Italy 6 <1%
Canada 5 <1%
Sweden 5 <1%
France 5 <1%
Netherlands 4 <1%
Switzerland 3 <1%
Other 17 1%
Unknown 1075 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 274 24%
Researcher 205 18%
Student > Master 149 13%
Student > Bachelor 103 9%
Student > Doctoral Student 72 6%
Other 208 18%
Unknown 146 13%
Readers by discipline Count As %
Psychology 404 35%
Neuroscience 170 15%
Agricultural and Biological Sciences 82 7%
Computer Science 58 5%
Medicine and Dentistry 52 4%
Other 168 15%
Unknown 223 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 07 February 2024.
All research outputs
#1,825,914
of 25,374,647 outputs
Outputs from Cognitive Processing
#31
of 354 outputs
Outputs of similar age
#4,020
of 89,566 outputs
Outputs of similar age from Cognitive Processing
#1
of 5 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 354 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has done particularly well, scoring higher than 91% 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 89,566 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 95% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them