Evidence map›Paper›PMID 32232358›Full record

ArticleSocial cognitive and affective neuroscience2021

Computational modelling of social cognition and behaviour-a reinforcement learning primer.

Patricia L Lockwood, Miriam C Klein-Flügge

Abstract read
In one paragraph

Article in Social cognitive and affective neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 1 pooled it
–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

61 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Neural Bases of Collective Social Behavior and Group Interactions across Species.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The role of affective states in computational psychiatry.The international journal of neuropsychopharmacology · 2025
    Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Investigating Reading Enjoyment in Adults With Dyslexia.Dyslexia (Chichester, England) · 2025
    Article
  19. Article
  20. Article

1 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.

Patricia L LockwoodDepartment of Experimental Psychology, University of Oxford, Oxford OX1 3PH, United Kingdom.ORCID 0000-0001-7195-9559
Miriam C Klein-FlüggeDepartment of Experimental Psychology, University of Oxford, Oxford OX1 3PH, United Kingdom.

Funding

Medical Research Council MR/P014097/1Wellcome Trust 203139/Z/16/Z
6 · The paper itself

Abstract

Social neuroscience aims to describe the neural systems that underpin social cognition and behaviour. Over the past decade, researchers have begun to combine computational models with neuroimaging to link social computations to the brain. Inspired by approaches from reinforcement learning theory, which describes how decisions are driven by the unexpectedness of outcomes, accounts of the neural basis of prosocial learning, observational learning, mentalizing and impression formation have been developed. Here we provide an introduction for researchers who wish to use these models in their studies. We consider both theoretical and practical issues related to their implementation, with a focus on specific examples from the field.

Indexed as

Reinforcement, PsychologySocial CognitionBrainCognitionHumansLearningSocial Behaviorcomputational modellingmodel fittingmodel selectionreinforcement learningrewardsocial

Identifiers

PMID32232358
PMCPMC8343561

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.