Amalric, M.; Wang, L.; Pica, P.; Figueira, S.; Sigman, M.; Dehaene, S."The language of geometry: Fast comprehension of geometrical primitives and rules in human adults and preschoolers" (2017) PLoS Computational Biology. 13(1)
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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. © 2017 Amalric et al.


Documento: Artículo
Título:The language of geometry: Fast comprehension of geometrical primitives and rules in human adults and preschoolers
Autor:Amalric, M.; Wang, L.; Pica, P.; Figueira, S.; Sigman, M.; Dehaene, S.
Filiación:Cognitive Neuroimaging Unit, CEA DSV/I2BM, INSERM, Université Paris-Sud, Université Paris-Saclay, NeuroSpin center, Gif/Yvette, France
Sorbonne Universités, UPMC Univ Paris 06, IFD, Paris, France
Institute of Neuroscience, Key Laboratory of Primate Neurobiology, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China
Instituto do Cérebro, Universidade Federal do Rio Grande do Norte, Natal, Brazil
UMR 7023 Structures Formelles du Langage CNRS, Université Paris 8, Saint-Denis, France
Department of Computer Science, FCEN, University of Buenos Aires and ICC-CONICET, Buenos Aires, Argentina
Neuroscience Laboratory, Universidad Torcuato Di Tella, Buenos Aires, Argentina
Collège de France, Paris, France
Palabras clave:adult; analytical error; comprehension; DNA structure; embedding; exposure; geometry; human; human experiment; language; rotation; algorithm; American Indian; comprehension; concept formation; cultural anthropology; education; educational model; male; mathematical phenomena; mathematics; nomenclature; physiology; preschool child; Adult; Algorithms; Child, Preschool; Comprehension; Concept Formation; Culture; Humans; Indians, South American; Language; Male; Mathematical Concepts; Mathematics; Models, Educational; Terminology as Topic
Título revista:PLoS Computational Biology
Título revista abreviado:PLoS Comput. Biol.


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---------- APA ----------
Amalric, M., Wang, L., Pica, P., Figueira, S., Sigman, M. & Dehaene, S. (2017) . The language of geometry: Fast comprehension of geometrical primitives and rules in human adults and preschoolers. PLoS Computational Biology, 13(1).
---------- CHICAGO ----------
Amalric, M., Wang, L., Pica, P., Figueira, S., Sigman, M., Dehaene, S. "The language of geometry: Fast comprehension of geometrical primitives and rules in human adults and preschoolers" . PLoS Computational Biology 13, no. 1 (2017).
---------- MLA ----------
Amalric, M., Wang, L., Pica, P., Figueira, S., Sigman, M., Dehaene, S. "The language of geometry: Fast comprehension of geometrical primitives and rules in human adults and preschoolers" . PLoS Computational Biology, vol. 13, no. 1, 2017.
---------- VANCOUVER ----------
Amalric, M., Wang, L., Pica, P., Figueira, S., Sigman, M., Dehaene, S. The language of geometry: Fast comprehension of geometrical primitives and rules in human adults and preschoolers. PLoS Comput. Biol. 2017;13(1).