Evidence map›Paper›PMID 29700377›Full record

ArticleNature communications2018

Knowledge acquisition is governed by striatal prediction errors.

Alex Pine, Noa Sadeh, Aya Ben-Yakov, Yadin Dudai, Avi Mendelsohn

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
5.5field-weighted citation impact, top 3% of its field
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

30 citing papers in PubMed, 76 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. An integrative model of perseverative thinking.Dialogues in clinical neuroscience · 2025
    Review
  6. 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
    Article
  7. Review
  8. Article
  9. Beta Oscillations in Monkey Striatum Encode Reward Prediction Error Signals.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Prediction errors disrupt hippocampal representations and update episodic memories.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  15. Pairing facts with imagined consequences improves pandemic-related risk perception.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  16. Article
  17. Article
  18. Signed Reward Prediction Errors in the Ventral Striatum Drive Episodic Memory.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  19. Timing matters when correcting fake news.Proceedings of the National Academy of Sciences of the United States of America · 2021
    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

5 authors at 3 institutions in 2 countries.

Alex PineSagol Department of Neurobiology, University of Haifa, Haifa, 3498838, Israel. alexpine@cantab.net.
Noa SadehDepartment of Neurobiology, Weizmann Institute of Science, Rehovot, 76100, Israel.
Aya Ben-YakovDepartment of Neurobiology, Weizmann Institute of Science, Rehovot, 76100, Israel.
Yadin DudaiDepartment of Neurobiology, Weizmann Institute of Science, Rehovot, 76100, Israel.
Avi MendelsohnSagol Department of Neurobiology, University of Haifa, Haifa, 3498838, Israel. amendels1@univ.haifa.ac.il.ORCID http://orcid.org/0000-0003-4582-2668
Weizmann Institute of Science · ILMRC Cognition and Brain Sciences Unit · GBUniversity of Haifa · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Discrepancies between expectations and outcomes, or prediction errors, are central to trial-and-error learning based on reward and punishment, and their neurobiological basis is well characterized. It is not known, however, whether the same principles apply to declarative memory systems, such as those supporting semantic learning. Here, we demonstrate with fMRI that the brain parametrically encodes the degree to which new factual information violates expectations based on prior knowledge and beliefs-most prominently in the ventral striatum, and cortical regions supporting declarative memory encoding. These semantic prediction errors determine the extent to which information is incorporated into long-term memory, such that learning is superior when incoming information counters strong incorrect recollections, thereby eliciting large prediction errors. Paradoxically, by the same account, strong accurate recollections are more amenable to being supplanted by misinformation, engendering false memories. These findings highlight a commonality in brain mechanisms and computational rules that govern declarative and nondeclarative learning, traditionally deemed dissociable.

Indexed as

KnowledgeAdultCorpus StriatumFemaleHumansLearningMagnetic Resonance ImagingMaleMemorySemantics

Identifiers

PMID29700377
PMCPMC5919975
OpenAlexW2805724045

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.