Evidence map›Paper›PMID 28125595›Full record

ArticlePLoS computational biology2017

The language of geometry: Fast comprehension of geometrical primitives and rules in human adults and preschoolers.

Marie Amalric, Liping Wang, Pierre Pica, Santiago Figueira, Mariano Sigman, Stanislas Dehaene

Abstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Neurophysiological dynamics of phrase-structure building during sentence processing.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Trial
  2. Article
  3. Complexity is a unified cognitive kind.Nature human behaviour · 2026
    Article
  4. Article
  5. Continuity in geometric intuition between humans and monkeys.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  11. Review
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  16. Article
  17. Children's Understanding of Topological Relations.Open mind : discoveries in cognitive science · 2025
    Article
  18. Sensitivity to Geometric Shape Regularity Emerges Independently of Vision.Open mind : discoveries in cognitive science · 2025
    Article
  19. Article
  20. 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

6 authors.

Marie AmalricCognitive Neuroimaging Unit, CEA DSV/I2BM, INSERM, Université Paris-Sud, Université Paris-Saclay, NeuroSpin center, Gif/Yvette, France.
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.
Pierre PicaInstituto do Cérebro, Universidade Federal do Rio Grande do Norte, Natal, Brasil.ORCID 0000-0001-9452-5446
Santiago FigueiraDepartment of Computer Science, FCEN, University of Buenos Aires and ICC-CONICET, Buenos Aires, Argentina.
Mariano SigmanNeuroscience Laboratory, Universidad Torcuato Di Tella, Buenos Aires, Argentina.
Stanislas DehaeneCognitive Neuroimaging Unit, CEA DSV/I2BM, INSERM, Université Paris-Sud, Université Paris-Saclay, NeuroSpin center, Gif/Yvette, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During language processing, humans form complex embedded representations from sequential inputs. Here, we ask whether a "geometrical language" with recursive embedding also underlies the human ability to encode sequences of spatial locations. We introduce a novel paradigm in which subjects are exposed to a sequence of spatial locations on an octagon, and are asked to predict future locations. The sequences vary in complexity according to a well-defined language comprising elementary primitives and recursive rules. A detailed analysis of error patterns indicates that primitives of symmetry and rotation are spontaneously detected and used by adults, preschoolers, and adult members of an indigene group in the Amazon, the Munduruku, who have a restricted numerical and geometrical lexicon and limited access to schooling. Furthermore, subjects readily combine these geometrical primitives into hierarchically organized expressions. By evaluating a large set of such combinations, we obtained a first view of the language needed to account for the representation of visuospatial sequences in humans, and conclude that they encode visuospatial sequences by minimizing the complexity of the structured expressions that capture them.

Indexed as

LanguageMathematical ConceptsModels, EducationalTerminology as TopicAdultAlgorithmsChild, PreschoolComprehensionConcept FormationCultureHumansIndians, South AmericanMaleMathematics

Identifiers

PMID28125595
PMCPMC5305265

What OpenQuestion holds

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LicenceCC BY
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.