Evidence map›Paper›PMID 39516221›Full record

ArticleNature communications2024

Predictive learning shapes the representational geometry of the human brain.

Antonino Greco, Julia Moser, Hubert Preissl, Markus Siegel

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Brain Network Dynamics of Local and Global Predictive Processing in Aging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  15. Broadband synergy versus oscillatory redundancy in the visual cortex.bioRxiv : the preprint server for biology · 2025
    Article
  16. 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

4 authors.

Antonino GrecoDepartment of Neural Dynamics and Magnetoencephalography, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany. antonino.greco@uni-tuebingen.de.ORCID 0000-0002-9502-4667
Julia MoserIDM/fMEG Center of the Helmholtz Center Munich, University of Tübingen, Tübingen, Germany.ORCID 0000-0002-6219-415X
Hubert PreisslIDM/fMEG Center of the Helmholtz Center Munich, University of Tübingen, Tübingen, Germany.ORCID 0000-0002-8859-4661
Markus SiegelDepartment of Neural Dynamics and Magnetoencephalography, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany. markus.siegel@uni-tuebingen.de.ORCID 0000-0001-5115-936X

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 276693517 (SFB 1233)Deutsche Forschungsgemeinschaft (German Research Foundation) SI 1332/6-1 (SPP 2041)
6 · The paper itself

Abstract

Predictive coding theories propose that the brain constantly updates internal models to minimize prediction errors and optimize sensory processing. However, the neural mechanisms that link prediction error encoding and optimization of sensory representations remain unclear. Here, we provide evidence how predictive learning shapes the representational geometry of the human brain. We recorded magnetoencephalography (MEG) in humans listening to acoustic sequences with different levels of regularity. We found that the brain aligns its representational geometry to match the statistical structure of the sensory inputs, by clustering temporally contiguous and predictable stimuli. Crucially, the magnitude of this representational shift correlates with the synergistic encoding of prediction errors in a network of high-level and sensory areas. Our findings suggest that, in response to the statistical regularities of the environment, large-scale neural interactions engaged in predictive processing modulate the representational content of sensory areas to enhance sensory processing.

Indexed as

Acoustic StimulationAuditory PerceptionBrainLearningMagnetoencephalographyAdultBrain MappingFemaleHumansMaleModels, NeurologicalYoung Adult

Identifiers

PMID39516221
PMCPMC11549346

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.