Evidence map›Paper›PMID 30483088›Full record

ReviewFrontiers in computational neuroscience2018

The Anatomy of Inference: Generative Models and Brain Structure.

Thomas Parr, Karl J Friston

Abstract readReview
In one paragraph

Review in Frontiers in computational neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing 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

87 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Active inference and artificial reasoning.Nature communications · 2026
    Article
  5. Review
  6. Article
  7. Review
  8. Active inference and speech motor control.Psychonomic bulletin & review · 2026
    Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. The active construction of past episodes.Translational neuroscience · 2026
    Article
  14. Review
  15. SPM-30 years and beyond.Cerebral cortex (New York, N.Y. : 1991) · 2025
    Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

27 more citing papers are in PubMed but not listed here.

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

2 authors.

Thomas ParrWellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, London, United Kingdom.
Karl J FristonWellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, London, United Kingdom.

Funding

Wellcome Trust
6 · The paper itself

Abstract

To infer the causes of its sensations, the brain must call on a generative (predictive) model. This necessitates passing local messages between populations of neurons to update beliefs about hidden variables in the world beyond its sensory samples. It also entails inferences about how we will act. Active inference is a principled framework that frames perception and action as approximate Bayesian inference. This has been successful in accounting for a wide range of physiological and behavioral phenomena. Recently, a process theory has emerged that attempts to relate inferences to their neurobiological substrates. In this paper, we review and develop the anatomical aspects of this process theory. We argue that the form of the generative models required for inference constrains the way in which brain regions connect to one another. Specifically, neuronal populations representing beliefs about a variable must receive input from populations representing the Markov blanket of that variable. We illustrate this idea in four different domains: perception, planning, attention, and movement. In doing so, we attempt to show how appealing to generative models enables us to account for anatomical brain architectures. Ultimately, committing to an anatomical theory of inference ensures we can form empirical hypotheses that can be tested using neuroimaging, neuropsychological, and electrophysiological experiments.

Indexed as

active inferenceBayesiangenerative modelmessage passingneuroanatomypredictive processing

Identifiers

PMID30483088
PMCPMC6243103

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Registered trials

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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.