Evidence map›Paper›PMID 36331872›Full record

ArticleeLife2022

The interpretation of computational model parameters depends on the context.

Maria Katharina Eckstein, Sarah L Master, Liyu Xia, Ronald E Dahl, Linda Wilbrecht, Anne G E Collins

Abstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Social information creates self-fulfilling prophecies in judgments of pain, vicarious pain, and cognitive effort.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  12. Article
  13. Article
  14. Associations Between Steep Delay Discounting and Punishment Learning.Computational psychiatry (Cambridge, Mass.) · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  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.

Maria Katharina EcksteinDepartment of Psychology, University of California, Berkeley, Berkeley, United States.ORCID 0000-0002-0330-9367
Sarah L MasterDepartment of Psychology, University of California, Berkeley, Berkeley, United States.ORCID 0000-0003-2726-4586
Liyu XiaDepartment of Psychology, University of California, Berkeley, Berkeley, United States.
Ronald E DahlInstitute of Human Development, University of California, Berkeley, Berkeley, United States.ORCID 0000-0002-1794-7132
Linda WilbrechtDepartment of Psychology, University of California, Berkeley, Berkeley, United States.ORCID 0000-0003-3492-8141
Anne G E CollinsDepartment of Psychology, University of California, Berkeley, Berkeley, United States.ORCID 0000-0003-3751-3662

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reinforcement Learning (RL) models have revolutionized the cognitive and brain sciences, promising to explain behavior from simple conditioning to complex problem solving, to shed light on developmental and individual differences, and to anchor cognitive processes in specific brain mechanisms. However, the RL literature increasingly reveals contradictory results, which might cast doubt on these claims. We hypothesized that many contradictions arise from two commonly-held assumptions about computational model parameters that are actually often invalid: That parameters

Indexed as

LearningReinforcement, PsychologyComputer SimulationGeneralization, PsychologicalHumansRewardcognitioncomputational biologycomputational modelingDevelopmentGeneralizabilityhumanInterpretabilityneurosciencereinforcement learningsystems biology

Identifiers

PMID36331872
PMCPMC9635876

What Socratic 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 Socratic graph.