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Minimal self-models and the free energy principle

Overview of attention for article published in Frontiers in Human Neuroscience, January 2013
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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3 blogs
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31 X users
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2 Facebook pages
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14 Google+ users
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1 Redditor

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351 Mendeley
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Title
Minimal self-models and the free energy principle
Published in
Frontiers in Human Neuroscience, January 2013
DOI 10.3389/fnhum.2013.00547
Pubmed ID
Authors

Jakub Limanowski, Felix Blankenburg

Abstract

The term "minimal phenomenal selfhood" (MPS) describes the basic, pre-reflective experience of being a self (Blanke and Metzinger, 2009). Theoretical accounts of the minimal self have long recognized the importance and the ambivalence of the body as both part of the physical world, and the enabling condition for being in this world (Gallagher, 2005a; Grafton, 2009). A recent account of MPS (Metzinger, 2004a) centers on the consideration that minimal selfhood emerges as the result of basic self-modeling mechanisms, thereby being founded on pre-reflective bodily processes. The free energy principle (FEP; Friston, 2010) is a novel unified theory of cortical function built upon the imperative that self-organizing systems entail hierarchical generative models of the causes of their sensory input, which are optimized by minimizing free energy as an approximation of the log-likelihood of the model. The implementation of the FEP via predictive coding mechanisms and in particular the active inference principle emphasizes the role of embodiment for predictive self-modeling, which has been appreciated in recent publications. In this review, we provide an overview of these conceptions and illustrate thereby the potential power of the FEP in explaining the mechanisms underlying minimal selfhood and its key constituents, multisensory integration, interoception, agency, perspective, and the experience of mineness. We conclude that the conceptualization of MPS can be well mapped onto a hierarchical generative model furnished by the FEP and may constitute the basis for higher-level, cognitive forms of self-referral, as well as the understanding of other minds.

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 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 351 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 6 2%
Japan 2 <1%
United Kingdom 2 <1%
United States 2 <1%
Switzerland 1 <1%
Poland 1 <1%
Unknown 337 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 65 19%
Researcher 60 17%
Student > Master 58 17%
Student > Bachelor 32 9%
Student > Doctoral Student 23 7%
Other 60 17%
Unknown 53 15%
Readers by discipline Count As %
Psychology 115 33%
Neuroscience 49 14%
Agricultural and Biological Sciences 21 6%
Medicine and Dentistry 17 5%
Philosophy 17 5%
Other 53 15%
Unknown 79 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 53. 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 25 November 2020.
All research outputs
#769,718
of 24,943,708 outputs
Outputs from Frontiers in Human Neuroscience
#346
of 7,585 outputs
Outputs of similar age
#5,861
of 292,957 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#43
of 861 outputs
Altmetric has tracked 24,943,708 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done particularly well, scoring higher than 95% 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 292,957 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 98% of its contemporaries.
We're also able to compare this research output to 861 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.