Evidence map›Paper›PMID 32687883›Full record

ReviewNeuroscience and biobehavioral reviews2020

Generative models, linguistic communication and active inference.

Karl J Friston, Thomas Parr, Yan Yufik, Noor Sajid, Catherine J Price, Emma Holmes

Abstract readReview
In one paragraph

Review in Neuroscience and biobehavioral reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
  2. Active inference and speech motor control.Psychonomic bulletin & review · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. The active construction of past episodes.Translational neuroscience · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Deep Hybrid Models: Infer and Plan in a Dynamic World.Entropy (Basel, Switzerland) · 2025
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Federated inference and belief sharing.Neuroscience and biobehavioral reviews · 2024
    Review
  19. Article
  20. 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

6 authors.

Karl J FristonThe Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, 12 Queen Square, London, WC1N 3AR, UK. Electronic address: k.friston@ucl.ac.uk.
Thomas ParrThe Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, 12 Queen Square, London, WC1N 3AR, UK. Electronic address: thomas.parr.12@ucl.ac.uk.
Yan YufikVirtual Structures Research, Inc., 12204 Saint James Rd, Potomac, MD 20854, USA. Electronic address: imc.yufik@att.net.
Noor SajidThe Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, 12 Queen Square, London, WC1N 3AR, UK. Electronic address: noor.sajid.18@ucl.ac.uk.
Catherine J PriceThe Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, 12 Queen Square, London, WC1N 3AR, UK. Electronic address: c.j.price@ucl.ac.uk.
Emma HolmesThe Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, 12 Queen Square, London, WC1N 3AR, UK. Electronic address: emma.holmes@ucl.ac.uk.

Funding

Medical Research Council MR/M023672/1Medical Research Council MR/S502522/1Wellcome Trust 088130/Z/09/ZWellcome Trust 203147/Z/16/ZWellcome Trust 205103/Z/16/ZWellcome Trust WT091681MA
6 · The paper itself

Abstract

This paper presents a biologically plausible generative model and inference scheme that is capable of simulating communication between synthetic subjects who talk to each other. Building on active inference formulations of dyadic interactions, we simulate linguistic exchange to explore generative models that support dialogues. These models employ high-order interactions among abstract (discrete) states in deep (hierarchical) models. The sequential nature of language processing mandates generative models with a particular factorial structure-necessary to accommodate the rich combinatorics of language. We illustrate linguistic communication by simulating a synthetic subject who can play the 'Twenty Questions' game. In this game, synthetic subjects take the role of the questioner or answerer, using the same generative model. This simulation setup is used to illustrate some key architectural points and demonstrate that many behavioural and neurophysiological correlates of linguistic communication emerge under variational (marginal) message passing, given the right kind of generative model. For example, we show that theta-gamma coupling is an emergent property of belief updating, when listening to another.

Indexed as

CommunicationLanguageAuditory PerceptionComputer SimulationHumansLinguisticsBayesianConnectivityFree energyHierarchicalInferenceLanguageMessage passingNeuronal

Identifiers

PMID32687883
PMCPMC7758713

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.