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Action and behavior: a free-energy formulation

Overview of attention for article published in Biological Cybernetics, February 2010
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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 (#24 of 678)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

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1 blog
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4 X users
googleplus
1 Google+ user

Citations

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601 Dimensions

Readers on

mendeley
932 Mendeley
citeulike
4 CiteULike
Title
Action and behavior: a free-energy formulation
Published in
Biological Cybernetics, February 2010
DOI 10.1007/s00422-010-0364-z
Pubmed ID
Authors

Karl J. Friston, Jean Daunizeau, James Kilner, Stefan J. Kiebel

Abstract

We have previously tried to explain perceptual inference and learning under a free-energy principle that pursues Helmholtz's agenda to understand the brain in terms of energy minimization. It is fairly easy to show that making inferences about the causes of sensory data can be cast as the minimization of a free-energy bound on the likelihood of sensory inputs, given an internal model of how they were caused. In this article, we consider what would happen if the data themselves were sampled to minimize this bound. It transpires that the ensuing active sampling or inference is mandated by ergodic arguments based on the very existence of adaptive agents. Furthermore, it accounts for many aspects of motor behavior; from retinal stabilization to goal-seeking. In particular, it suggests that motor control can be understood as fulfilling prior expectations about proprioceptive sensations. This formulation can explain why adaptive behavior emerges in biological agents and suggests a simple alternative to optimal control theory. We illustrate these points using simulations of oculomotor control and then apply to same principles to cued and goal-directed movements. In short, the free-energy formulation may provide an alternative perspective on the motor control that places it in an intimate relationship with perception.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 932 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 1%
United Kingdom 13 1%
France 7 <1%
Germany 6 <1%
Switzerland 6 <1%
Japan 4 <1%
Portugal 4 <1%
Canada 3 <1%
Italy 2 <1%
Other 15 2%
Unknown 859 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 238 26%
Researcher 155 17%
Student > Master 126 14%
Student > Bachelor 71 8%
Student > Doctoral Student 50 5%
Other 189 20%
Unknown 103 11%
Readers by discipline Count As %
Psychology 201 22%
Neuroscience 147 16%
Computer Science 118 13%
Engineering 79 8%
Agricultural and Biological Sciences 74 8%
Other 172 18%
Unknown 141 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 March 2024.
All research outputs
#2,442,040
of 25,443,857 outputs
Outputs from Biological Cybernetics
#24
of 678 outputs
Outputs of similar age
#11,948
of 174,607 outputs
Outputs of similar age from Biological Cybernetics
#1
of 6 outputs
Altmetric has tracked 25,443,857 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 678 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 96% 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 174,607 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 93% of its contemporaries.
We're also able to compare this research output to 6 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