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

Autores
Amalric, Marie; Wang, Liping; Pica, Pierre; Figueira, Santiago; Sigman, Mariano; Dehaene, Stanislas
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Amalric, Marie. Université Paris Sud; Francia. Universite de Paris VI; Francia
Fil: Wang, Liping. Chinese Academy of Sciences; República de China
Fil: Pica, Pierre. Universidade Federal do Rio Grande do Norte; Brasil. Université Paris VIII; Francia
Fil: Figueira, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación En Ciencias de la Computación. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigación En Ciencias de la Computacion; Argentina
Fil: Sigman, Mariano. Universidad Torcuato Di Tella; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Dehaene, Stanislas. Université Paris Sud; Francia. Collège de France; Francia
Materia
Language
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/54004
Acceder
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spelling The language of geometry: Fast comprehension of geometrical primitives and rules in human adults and preschoolersAmalric, MarieWang, LipingPica, PierreFigueira, SantiagoSigman, MarianoDehaene, StanislasLanguagehttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1During 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.Fil: Amalric, Marie. Université Paris Sud; Francia. Universite de Paris VI; FranciaFil: Wang, Liping. Chinese Academy of Sciences; República de ChinaFil: Pica, Pierre. Universidade Federal do Rio Grande do Norte; Brasil. Université Paris VIII; FranciaFil: Figueira, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación En Ciencias de la Computación. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigación En Ciencias de la Computacion; ArgentinaFil: Sigman, Mariano. Universidad Torcuato Di Tella; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Dehaene, Stanislas. Université Paris Sud; Francia. Collège de France; FranciaPublic Library of Science2017-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/54004Amalric, Marie; Wang, Liping; Pica, Pierre; Figueira, Santiago; Sigman, Mariano; et al.; The language of geometry: Fast comprehension of geometrical primitives and rules in human adults and preschoolers; Public Library of Science; Plos Computational Biology; 13; 1; 1-2017; 1-31; e10052731553-734XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pcbi.1005273info:eu-repo/semantics/altIdentifier/url/http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005273info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:04:21Zoai:ri.conicet.gov.ar:11336/54004instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:04:21.766CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv The language of geometry: Fast comprehension of geometrical primitives and rules in human adults and preschoolers
title The language of geometry: Fast comprehension of geometrical primitives and rules in human adults and preschoolers
spellingShingle The language of geometry: Fast comprehension of geometrical primitives and rules in human adults and preschoolers
Amalric, Marie
Language
title_short The language of geometry: Fast comprehension of geometrical primitives and rules in human adults and preschoolers
title_full The language of geometry: Fast comprehension of geometrical primitives and rules in human adults and preschoolers
title_fullStr The language of geometry: Fast comprehension of geometrical primitives and rules in human adults and preschoolers
title_full_unstemmed The language of geometry: Fast comprehension of geometrical primitives and rules in human adults and preschoolers
title_sort The language of geometry: Fast comprehension of geometrical primitives and rules in human adults and preschoolers
dc.creator.none.fl_str_mv Amalric, Marie
Wang, Liping
Pica, Pierre
Figueira, Santiago
Sigman, Mariano
Dehaene, Stanislas
author Amalric, Marie
author_facet Amalric, Marie
Wang, Liping
Pica, Pierre
Figueira, Santiago
Sigman, Mariano
Dehaene, Stanislas
author_role author
author2 Wang, Liping
Pica, Pierre
Figueira, Santiago
Sigman, Mariano
Dehaene, Stanislas
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Language
topic Language
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv 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.
Fil: Amalric, Marie. Université Paris Sud; Francia. Universite de Paris VI; Francia
Fil: Wang, Liping. Chinese Academy of Sciences; República de China
Fil: Pica, Pierre. Universidade Federal do Rio Grande do Norte; Brasil. Université Paris VIII; Francia
Fil: Figueira, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación En Ciencias de la Computación. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigación En Ciencias de la Computacion; Argentina
Fil: Sigman, Mariano. Universidad Torcuato Di Tella; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Dehaene, Stanislas. Université Paris Sud; Francia. Collège de France; Francia
description 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.
publishDate 2017
dc.date.none.fl_str_mv 2017-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/54004
Amalric, Marie; Wang, Liping; Pica, Pierre; Figueira, Santiago; Sigman, Mariano; et al.; The language of geometry: Fast comprehension of geometrical primitives and rules in human adults and preschoolers; Public Library of Science; Plos Computational Biology; 13; 1; 1-2017; 1-31; e1005273
1553-734X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/54004
identifier_str_mv Amalric, Marie; Wang, Liping; Pica, Pierre; Figueira, Santiago; Sigman, Mariano; et al.; The language of geometry: Fast comprehension of geometrical primitives and rules in human adults and preschoolers; Public Library of Science; Plos Computational Biology; 13; 1; 1-2017; 1-31; e1005273
1553-734X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pcbi.1005273
info:eu-repo/semantics/altIdentifier/url/http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005273
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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