Evidence map›Paper›PMID 33229532›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Representations of common event structure in medial temporal lobe and frontoparietal cortex support efficient inference.

Neal W Morton, Margaret L Schlichting, Alison R Preston

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Distinct Hippocampal Mechanisms Support Concept Formation and Updating.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Thinking as Analogy-Making: Toward a Neural Process Account of General Intelligence.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Neural Activity Differentiates Novel and Learned Event Boundaries.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  19. Article
  20. Agency effects on the binding of event elements in episodic memory.Quarterly journal of experimental psychology (2006) · 2024
    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.

Neal W MortonCenter for Learning & Memory, The University of Texas at Austin, Austin, TX 78712.ORCID 0000-0002-2631-2710
Margaret L SchlichtingDepartment of Psychology, University of Toronto, Toronto, ON M5S 3G3, Canada.ORCID 0000-0002-5433-8870
Alison R PrestonCenter for Learning & Memory, The University of Texas at Austin, Austin, TX 78712; apreston@utexas.edu.

Funding

Hippocampal and prefrontal contributions to memory integrationR01MH100121 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI Alison R Preston · 2013 to 2026
$7.3M
A neurocognitive framework for understanding how experience shapes object representationsF32MH114869 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI MORTON, NEAL W · 2017 to 2019
$184k
NIMH NIH HHS F32 MH114869NIMH NIH HHS R01 MH100121
6 · The paper itself

Abstract

Prior work has shown that the brain represents memories within a cognitive map that supports inference about connections between individual related events. Real-world adaptive behavior is also supported by recognizing common structure among numerous distinct contexts; for example, based on prior experience with restaurants, when visiting a new restaurant one can expect to first get a table, then order, eat, and finally pay the bill. We used a neurocomputational approach to examine how the brain extracts and uses abstract representations of common structure to support novel decisions. Participants learned image pairs (AB, BC) drawn from distinct triads (ABC) that shared the same internal structure and were then tested on their ability to infer indirect (AC) associations. We found that hippocampal and frontoparietal regions formed abstract representations that coded cross-triad relationships with a common geometric structure. Critically, such common representational geometries were formed despite the lack of explicit reinforcement to do so. Furthermore, we found that representations in parahippocampal cortex are hierarchical, reflecting both cross-triad relationships and distinctions between triads. We propose that representations with common geometric structure provide a vector space that codes inferred item relationships with a direction vector that is consistent across triads, thus supporting faster inference. Using computational modeling of response time data, we found evidence for dissociable vector-based retrieval and pattern-completion processes that contribute to successful inference. Moreover, we found evidence that these processes are mediated by distinct regions, with pattern completion supported by hippocampus and vector-based retrieval supported by parahippocampal cortex and lateral parietal cortex.

Indexed as

AdolescentAdultBrain MappingComputer SimulationDecision MakingFemaleFrontal LobeHippocampusHumansLearningMagnetic Resonance ImagingMaleModels, NeurologicalNeural Networks, ComputerParietal LobePattern Recognition, VisualabstractionanalogyfMRIreasoningschema

Identifiers

PMID33229532
PMCPMC7703583

What OpenQuestion holds

Textmetadata
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.