Evidence map›Paper›PMID 36458809›Full record

ArticleeLife2022

Uncertainty alters the balance between incremental learning and episodic memory.

Jonathan Nicholas, Nathaniel D Daw, Daphna Shohamy

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 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Differentiating Reinforcement Learning and Episodic Memory in Value-Based Decisions in Parkinson's Disease.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Naturalistic reinforcement learning.Trends in cognitive sciences · 2024
    Review
  16. Article
  17. Back to the future: Progressing memory research in eating disorders.The International journal of eating disorders · 2023
    Article
  18. Article
  19. Review
  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

3 authors.

Jonathan NicholasDepartment of Psychology, Columbia University, New York, United States.ORCID 0000-0002-2314-0765
Nathaniel D DawDepartment of Psychology, Princeton University, Princeton, United States.ORCID 0000-0001-5029-1430
Daphna ShohamyDepartment of Psychology, Columbia University, New York, United States.

Funding

Differentiating reward seeking and loss avoidance with reference-dependent learning modelsR01MH121093 · NIMH · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI DAW, NATHANIEL DOUGLASS, SHOHAMY, DAPHNA · 2019 to 2022
$2.1M
6 · The paper itself

Abstract

A key question in decision-making is how humans arbitrate between competing learning and memory systems to maximize reward. We address this question by probing the balance between the effects, on choice, of incremental trial-and-error learning versus episodic memories of individual events. Although a rich literature has studied incremental learning in isolation, the role of episodic memory in decision-making has only recently drawn focus, and little research disentangles their separate contributions. We hypothesized that the brain arbitrates rationally between these two systems, relying on each in circumstances to which it is most suited, as indicated by uncertainty. We tested this hypothesis by directly contrasting contributions of episodic and incremental influence to decisions, while manipulating the relative uncertainty of incremental learning using a well-established manipulation of reward volatility. Across two large, independent samples of young adults, participants traded these influences off rationally, depending more on episodic information when incremental summaries were more uncertain. These results support the proposal that the brain optimizes the balance between different forms of learning and memory according to their relative uncertainties and elucidate the circumstances under which episodic memory informs decisions.

Indexed as

Memory, EpisodicDecision MakingHumansLearningReinforcement, PsychologyRewardUncertaintyYoung Adultepisodic memoryhumanincremental learningneurosciencereinforcement learninguncertaintyvolatility

Identifiers

PMID36458809
PMCPMC9810331

What OpenQuestion holds

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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.