Evidence map›Paper›PMID 29553767›Full record

ArticleJournal of experimental psychology. Learning, memory, and cognition2018

Dissociable effects of surprising rewards on learning and memory.

Nina Rouhani, Kenneth A Norman, Yael Niv

Abstract read
In one paragraph

Article in Journal of experimental psychology. Learning, memory, and cognition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing 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

67 citing papers in PubMed.

  1. Midbrain-Hippocampus Structural Connectivity Selectively Predicts Motivated Memory Encoding.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
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  11. Neural and computational evidence for a predictive learning account of the testing effect.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  19. Neural Activity Differentiates Novel and Learned Event Boundaries.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  20. Article

7 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

3 authors.

Nina RouhaniPrinceton Neuroscience Institute, Princeton University.
Kenneth A NormanPrinceton Neuroscience Institute, Princeton University.
Yael NivPrinceton Neuroscience Institute, Princeton University.

Funding

Neural and computational mechanisms of selective attention in experience-based deR01MH098861 · NIMH · PRINCETON UNIVERSITY · PI NIV, YAEL · 2012 to 2014
$1.1M
Ellison FoundationNational Science FoundationNIMH NIH HHS R01 MH098861United States Army Research OfficeUnited States Department of Health and Human Services; National Institutes of Health; National Institute for Mental Health
6 · The paper itself

Abstract

Reward-prediction errors track the extent to which rewards deviate from expectations, and aid in learning. How do such errors in prediction interact with memory for the rewarding episode? Existing findings point to both cooperative and competitive interactions between learning and memory mechanisms. Here, we investigated whether learning about rewards in a high-risk context, with frequent, large prediction errors, would give rise to higher fidelity memory traces for rewarding events than learning in a low-risk context. Experiment 1 showed that recognition was better for items associated with larger absolute prediction errors during reward learning. Larger prediction errors also led to higher rates of learning about rewards. Interestingly we did not find a relationship between learning rate for reward and recognition-memory accuracy for items, suggesting that these two effects of prediction errors were caused by separate underlying mechanisms. In Experiment 2, we replicated these results with a longer task that posed stronger memory demands and allowed for more learning. We also showed improved source and sequence memory for items within the high-risk context. In Experiment 3, we controlled for the difficulty of reward learning in the risk environments, again replicating the previous results. Moreover, this control revealed that the high-risk context enhanced item-recognition memory beyond the effect of prediction errors. In summary, our results show that prediction errors boost both episodic item memory and incremental reward learning, but the two effects are likely mediated by distinct underlying systems. (PsycINFO Database Record

Indexed as

Anticipation, PsychologicalMemoryRewardHumans

Identifiers

PMID29553767
PMCPMC6117220

What OpenQuestion holds

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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.