Evidence map›Paper›PMID 36898375›Full record

ArticleNeuron2023

Neural knowledge assembly in humans and neural networks.

Stephanie Nelli, Lukas Braun, Tsvetomira Dumbalska, Andrew Saxe, Christopher Summerfield

Abstract read
In one paragraph

Article in Neuron, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. The hippocampus rapidly integrates sequence representations during novel multistep predictions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
    Article
  5. Article
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  7. Building hierarchically nested structure by rapid neural sequences.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
  9. Article
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  11. Article
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  14. Article
  15. Review
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  18. Symbolic numerical generalization through representational alignment.CogSci ... Annual Conference of the Cognitive Science Society. Cognitive Science Society (U.S.). Conference · 2025
    Article
  19. Article
  20. Review
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.

Stephanie NelliDepartment of Cognitive Science, Occidental College, Los Angeles, CA 90041, USA; Department of Experimental Psychology, University of Oxford, Oxford OX2 6GC, UK. Electronic address: nelli@oxy.edu.
Lukas BraunDepartment of Experimental Psychology, University of Oxford, Oxford OX2 6GC, UK.
Tsvetomira DumbalskaDepartment of Experimental Psychology, University of Oxford, Oxford OX2 6GC, UK.
Andrew SaxeDepartment of Experimental Psychology, University of Oxford, Oxford OX2 6GC, UK; Gatsby Unit & Sainsbury Wellcome Centre, University College London, London W1T 4JG, UK; CIFAR Azrieli Global Scholars Program, CIFAR, Toronto, ON M5G 1M1, Canada.
Christopher SummerfieldDepartment of Experimental Psychology, University of Oxford, Oxford OX2 6GC, UK. Electronic address: christopher.summerfield@psy.ox.ac.uk.

Funding

Medical Research Council MR/N013468/1Wellcome TrustWellcome Trust 216386/Z/19/ZWellcome Trust 219627/Z/19/Z
6 · The paper itself

Abstract

Human understanding of the world can change rapidly when new information comes to light, such as when a plot twist occurs in a work of fiction. This flexible "knowledge assembly" requires few-shot reorganization of neural codes for relations among objects and events. However, existing computational theories are largely silent about how this could occur. Here, participants learned a transitive ordering among novel objects within two distinct contexts before exposure to new knowledge that revealed how they were linked. Blood-oxygen-level-dependent (BOLD) signals in dorsal frontoparietal cortical areas revealed that objects were rapidly and dramatically rearranged on the neural manifold after minimal exposure to linking information. We then adapt online stochastic gradient descent to permit similar rapid knowledge assembly in a neural network model.

Indexed as

LearningNeural Networks, ComputerFrontal LobeHumansabstractioncontinual learningdecision makinggeneralizationneural networksneuroimaging

Identifiers

PMID36898375
PMCPMC10618408

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.