Evidence map›Paper›PMID 33357385›Full record

ArticleNeuron2021

Entorhinal and ventromedial prefrontal cortices abstract and generalize the structure of reinforcement learning problems.

Alon Boaz Baram, Timothy Howard Muller, Hamed Nili, Mona Maria Garvert, Timothy Edward John Behrens

Registry-linked trialAbstract read
In one paragraph

Article in Neuron, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05746299 (The Emergence of Abstract Structure Knowledge Across Learning and Sleep), which is not on this map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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.

NCT05746299 nacompletednot on this mapstarted 2023, after this paper: background citation

The Emergence of Abstract Structure Knowledge Across Learning and Sleep

TypeinterventionalSponsorUniversity of PennsylvaniaRan2023 to 2024Enrolled194ConditionsMemory ConsolidationArmsCongruent vs. Incongruent, Immediate vs. Awake vs. Asleep, Targeted memory reactivation (TMR)
3 · Its place in the literature

Who cites it

56 citing papers in PubMed.

  1. Article
  2. Article
  3. Oxytocin modulates the neurocomputational mechanisms engaged in learning rank relationships in social networks.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Review
  5. Medial temporal lobe encodes cognitive maps of real-world social networks.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Article
  7. Article
  8. Entorhinal Cortex Signals Dimensions of Past Experience That Can Be Generalized in a Novel Environment.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  9. Article
  10. Article
  11. Cognitive Maps in the Prefrontal Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Review
  12. Article
  13. Article
  14. Review
  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

5 authors.

Alon Boaz BaramWellcome Centre for Integrative Neuroimaging, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK. Electronic address: alon.baram@ndcn.ox.ac.uk.
Timothy Howard MullerWellcome Centre for Integrative Neuroimaging, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK.
Hamed NiliWellcome Centre for Integrative Neuroimaging, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK.
Mona Maria GarvertWellcome Centre for Integrative Neuroimaging, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK; Max-Planck-Institute for Human Cognitive and Brain Sciences, Stephanstraße 1a, 04103, Leipzig, Germany.
Timothy Edward John BehrensWellcome Centre for Integrative Neuroimaging, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK; Wellcome Trust Centre for Neuroimaging, University College London, London WC1N 3AR, UK.

Funding

Medical Research CouncilWellcome TrustWellcome Trust 104765/Z/14/ZWellcome Trust 203139/Z/16/ZWellcome Trust 219525/Z/19/Z
6 · The paper itself

Abstract

Knowledge of the structure of a problem, such as relationships between stimuli, enables rapid learning and flexible inference. Humans and other animals can abstract this structural knowledge and generalize it to solve new problems. For example, in spatial reasoning, shortest-path inferences are immediate in new environments. Spatial structural transfer is mediated by cells in entorhinal and (in humans) medial prefrontal cortices, which maintain their co-activation structure across different environments and behavioral states. Here, using fMRI, we show that entorhinal and ventromedial prefrontal cortex (vmPFC) representations perform a much broader role in generalizing the structure of problems. We introduce a task-remapping paradigm, where subjects solve multiple reinforcement learning (RL) problems differing in structural or sensory properties. We show that, as with space, entorhinal representations are preserved across different RL problems only if task structure is preserved. In vmPFC and ventral striatum, representations of prediction error also depend on task structure.

Indexed as

Reinforcement, PsychologyAdultEntorhinal CortexFemaleHumansLearningMagnetic Resonance ImagingMalePhotic StimulationPrefrontal CortexPsychomotor PerformanceRandom AllocationYoung Adultcognitive mapentorhinal cortexgeneralizationgrid cellshippocampal formationreinforcement learningRLspatial cognitionstructure learningvmPFC

Identifiers

PMID33357385
PMCPMC7889496

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.