Evidence map›Paper›PMID 33286324›Full record

ArticleEntropy (Basel, Switzerland)2020

Modules or Mean-Fields?

Thomas Parr, Noor Sajid, Karl J Friston

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. The evolution of brain architectures for predictive coding and active inference.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  6. Article
  7. Article
  8. Markov blankets in the brain.Neuroscience and biobehavioral reviews · 2021
    Review
  9. Article
  10. Cancer Niches and Their Kikuchi Free Energy.Entropy (Basel, Switzerland) · 2021
    Article
  11. Message Passing and Metabolism.Entropy (Basel, Switzerland) · 2021
    Article
  12. The Thalamus as a Blackboard for Perception and Planning.Frontiers in behavioral neuroscience · 2021
    Article
  13. Neural and phenotypic representation under the free-energy principle.Neuroscience and biobehavioral reviews · 2021
    Review
  14. Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Thomas ParrWellcome Centre for Human Neuroimaging (UCL), London WC1N 3AR, UK.ORCID 0000-0001-5108-5743
Noor SajidWellcome Centre for Human Neuroimaging (UCL), London WC1N 3AR, UK.
Karl J FristonWellcome Centre for Human Neuroimaging (UCL), London WC1N 3AR, UK.

Funding

Medical Research Council MR/S502522/1Wellcome Trust 088130Wellcome Trust 088130/Z/09/Z
6 · The paper itself

Abstract

The segregation of neural processing into distinct streams has been interpreted by some as evidence in favour of a modular view of brain function. This implies a set of specialised 'modules', each of which performs a specific kind of computation in isolation of other brain systems, before sharing the result of this operation with other modules. In light of a modern understanding of stochastic non-equilibrium systems, like the brain, a simpler and more parsimonious explanation presents itself. Formulating the evolution of a non-equilibrium steady state system in terms of its density dynamics reveals that such systems appear on average to perform a gradient ascent on their steady state density. If this steady state implies a sufficiently sparse conditional independency structure, this endorses a mean-field dynamical formulation. This decomposes the density over all states in a system into the product of marginal probabilities for those states. This factorisation lends the system a modular appearance, in the sense that we can interpret the dynamics of each factor independently. However, the argument here is that it is

Indexed as

Bayesian mechanicsdensity dynamicsmessage passingmodularitystochastic dynamics

Identifiers

PMID33286324
PMCPMC7517075

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.