Evidence map›Paper›PMID 37910588›Full record

ArticleeLife2023

Brain-imaging evidence for compression of binary sound sequences in human memory.

Fosca Al Roumi, Samuel Planton, Liping Wang, Stanislas Dehaene

Abstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Sensory integration, temporal prediction, and rule discovery reflect interdependent inference processes.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Building hierarchically nested structure by rapid neural sequences.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Cognitive Maps in the Prefrontal Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Review
  8. Article
  9. Review
  10. Review
  11. Sensitivity to Geometric Shape Regularity Emerges Independently of Vision.Open mind : discoveries in cognitive science · 2025
    Article
  12. 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.

Fosca Al Roumi *Cognitive Neuroimaging Unit, Université Paris-Saclay, INSERM, CEA, CNRS, NeuroSpin center, Gif/Yvette, France.ORCID https://orcid.org/0000-0001-9590-080X
Samuel Planton *Cognitive Neuroimaging Unit, Université Paris-Saclay, INSERM, CEA, CNRS, NeuroSpin center, Gif/Yvette, France.ORCID https://orcid.org/0000-0001-8588-7146
Liping WangInstitute of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.ORCID https://orcid.org/0000-0003-2038-0234
Stanislas DehaeneCognitive Neuroimaging Unit, Université Paris-Saclay, INSERM, CEA, CNRS, NeuroSpin center, Gif/Yvette, France.ORCID https://orcid.org/0000-0002-7418-8275

Funding

European Research Council NeuroSyntax - Grant agreement ID: 695403
6 · The paper itself

Abstract

According to the language-of-thought hypothesis, regular sequences are compressed in human memory using recursive loops akin to a mental program that predicts future items. We tested this theory by probing memory for 16-item sequences made of two sounds. We recorded brain activity with functional MRI and magneto-encephalography (MEG) while participants listened to a hierarchy of sequences of variable complexity, whose minimal description required transition probabilities, chunking, or nested structures. Occasional deviant sounds probed the participants' knowledge of the sequence. We predicted that task difficulty and brain activity would be proportional to the complexity derived from the minimal description length in our formal language. Furthermore, activity should increase with complexity for learned sequences, and decrease with complexity for deviants. These predictions were upheld in both fMRI and MEG, indicating that sequence predictions are highly dependent on sequence structure and become weaker and delayed as complexity increases. The proposed language recruited bilateral superior temporal, precentral, anterior intraparietal, and cerebellar cortices. These regions overlapped extensively with a localizer for mathematical calculation, and much less with spoken or written language processing. We propose that these areas collectively encode regular sequences as repetitions with variations and their recursive composition into nested structures.

Indexed as

BrainBrain MappingHumansLanguageLearningMemoryauditory processingcompressionhumanlanguage of thoughtneurosciencesequencesyntaxworking memory

Identifiers

PMID37910588
PMCPMC10619979

What OpenQuestion holds

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Registered trials

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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.