Evidence map›Paper›PMID 38036709›Full record

ReviewNature reviews. Neuroscience2024

The generative grammar of the brain: a critique of internally generated representations.

George Dragoi

Abstract readReview
In one paragraph

Review in Nature reviews. Neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Cognitive maps as a medium for thought.Trends in cognitive sciences · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Spaces and sequences in the hippocampus: a homological perspective.Journal of computational neuroscience · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Face detection mechanisms: NatureFrontiers in neuroscience · 2024
    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

1 author.

George DragoiDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA. george.dragoi@yale.edu.ORCID http://orcid.org/0000-0002-0255-7326

Funding

Development and organization of brain-wide neuronal ensemble circuits underlying memory and decision makingR35NS132342 · NINDS · YALE UNIVERSITY · PI GEORGE DRAGOI · 2023 to 2026
$2.3M
Dynamic modulation of postnatal development of preconfigured and plastic time-compressed sequencesR01MH121372 · NIMH · YALE UNIVERSITY · PI DRAGOI, GEORGE · 2019 to 2023
$2.1M
Development of predictive coding networks for spatial navigationR01NS104917 · NINDS · YALE UNIVERSITY · PI DRAGOI, GEORGE · 2018 to 2022
$2.1M
NIMH NIH HHS R01 MH121372NINDS NIH HHS R01 NS104917NINDS NIH HHS R35 NS132342
6 · The paper itself

Abstract

The past decade of progress in neurobiology has uncovered important organizational principles for network preconfiguration and neuronal selection that suggest a generative grammar exists in the brain. In this Perspective, I discuss the competence of the hippocampal neural network to generically express temporally compressed sequences of neuronal firing that represent novel experiences, which is envisioned as a form of generative neural syntax supporting a neurobiological perspective on brain function. I compare this neural competence with the hippocampal network performance that represents specific experiences with higher fidelity after new learning during replay, which is envisioned as a form of neural semantic that supports a complementary neuropsychological perspective. I also demonstrate how the syntax of network competence emerges a priori during early postnatal life and is followed by the later development of network performance that enables rapid encoding and memory consolidation. Thus, I propose that this generative grammar of the brain is essential for internally generated representations, which are crucial for the cognitive processes underlying learning and memory, prospection, and inference, which ultimately underlie our reason and representation of the world.

Indexed as

BrainLearningHippocampusHumansNeural Networks, ComputerNeurons

Identifiers

PMID38036709
PMCPMC11878217

What OpenQuestion holds

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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.