Modeled grid cells aligned by a flexible attractor

Autores
Benas, Sabrina Soledad; Fernández, Ximena Laura; Kropff, Emilio
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Entorhinal grid cells implement a spatial code with hexagonal periodicity, signaling the position of the animal within an environment. Grid maps of cells belonging to the same module share spacing and orientation, only differing in relative two-dimensional spatial phase, which could result from being interconnected by a two-dimensional attractor. However, this architecture has the drawbacks of being complex to construct and rigid, allowing no deviations from the hexagonal pattern such as the ones observed under a variety of experimental manipulations. Here we show that a simpler one-dimensional attractor is enough to align grid cells equally well. Using topological data analysis, we show that the resulting population activity is a sample of a torus, while the ensemble of maps preserves features of the network architecture. The flexibility of this low dimensional attractor allows it to negotiate the geometry of the representation manifold with the feedforward inputs, rather than imposing it. More generally, our results represent a proof of principle against the intuition that the architecture and the representation manifold of an attractor are the same topological object, with implications to the study of attractor networks across the brain.
Fil: Benas, Sabrina Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina
Fil: Fernández, Ximena Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; Argentina
Fil: Kropff, Emilio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; Argentina
Materia
GRID CELLS
ENTORIHNAL CORTEX
NAVIGATION
ATTRACTOR
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/237088

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spelling Modeled grid cells aligned by a flexible attractorBenas, Sabrina SoledadFernández, Ximena LauraKropff, EmilioGRID CELLSENTORIHNAL CORTEXNAVIGATIONATTRACTORhttps://purl.org/becyt/ford/3.5https://purl.org/becyt/ford/3Entorhinal grid cells implement a spatial code with hexagonal periodicity, signaling the position of the animal within an environment. Grid maps of cells belonging to the same module share spacing and orientation, only differing in relative two-dimensional spatial phase, which could result from being interconnected by a two-dimensional attractor. However, this architecture has the drawbacks of being complex to construct and rigid, allowing no deviations from the hexagonal pattern such as the ones observed under a variety of experimental manipulations. Here we show that a simpler one-dimensional attractor is enough to align grid cells equally well. Using topological data analysis, we show that the resulting population activity is a sample of a torus, while the ensemble of maps preserves features of the network architecture. The flexibility of this low dimensional attractor allows it to negotiate the geometry of the representation manifold with the feedforward inputs, rather than imposing it. More generally, our results represent a proof of principle against the intuition that the architecture and the representation manifold of an attractor are the same topological object, with implications to the study of attractor networks across the brain.Fil: Benas, Sabrina Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; ArgentinaFil: Fernández, Ximena Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; ArgentinaFil: Kropff, Emilio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; ArgentinaeLife Sciences Publications2023-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/237088Benas, Sabrina Soledad; Fernández, Ximena Laura; Kropff, Emilio; Modeled grid cells aligned by a flexible attractor; eLife Sciences Publications; eLife; 9-2023; 1-442050-084XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://elifesciences.org/reviewed-preprints/89851info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:38:30Zoai:ri.conicet.gov.ar:11336/237088instacron: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:34982025-10-15 14:38:30.616CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Modeled grid cells aligned by a flexible attractor
title Modeled grid cells aligned by a flexible attractor
spellingShingle Modeled grid cells aligned by a flexible attractor
Benas, Sabrina Soledad
GRID CELLS
ENTORIHNAL CORTEX
NAVIGATION
ATTRACTOR
title_short Modeled grid cells aligned by a flexible attractor
title_full Modeled grid cells aligned by a flexible attractor
title_fullStr Modeled grid cells aligned by a flexible attractor
title_full_unstemmed Modeled grid cells aligned by a flexible attractor
title_sort Modeled grid cells aligned by a flexible attractor
dc.creator.none.fl_str_mv Benas, Sabrina Soledad
Fernández, Ximena Laura
Kropff, Emilio
author Benas, Sabrina Soledad
author_facet Benas, Sabrina Soledad
Fernández, Ximena Laura
Kropff, Emilio
author_role author
author2 Fernández, Ximena Laura
Kropff, Emilio
author2_role author
author
dc.subject.none.fl_str_mv GRID CELLS
ENTORIHNAL CORTEX
NAVIGATION
ATTRACTOR
topic GRID CELLS
ENTORIHNAL CORTEX
NAVIGATION
ATTRACTOR
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.5
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Entorhinal grid cells implement a spatial code with hexagonal periodicity, signaling the position of the animal within an environment. Grid maps of cells belonging to the same module share spacing and orientation, only differing in relative two-dimensional spatial phase, which could result from being interconnected by a two-dimensional attractor. However, this architecture has the drawbacks of being complex to construct and rigid, allowing no deviations from the hexagonal pattern such as the ones observed under a variety of experimental manipulations. Here we show that a simpler one-dimensional attractor is enough to align grid cells equally well. Using topological data analysis, we show that the resulting population activity is a sample of a torus, while the ensemble of maps preserves features of the network architecture. The flexibility of this low dimensional attractor allows it to negotiate the geometry of the representation manifold with the feedforward inputs, rather than imposing it. More generally, our results represent a proof of principle against the intuition that the architecture and the representation manifold of an attractor are the same topological object, with implications to the study of attractor networks across the brain.
Fil: Benas, Sabrina Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina
Fil: Fernández, Ximena Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; Argentina
Fil: Kropff, Emilio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; Argentina
description Entorhinal grid cells implement a spatial code with hexagonal periodicity, signaling the position of the animal within an environment. Grid maps of cells belonging to the same module share spacing and orientation, only differing in relative two-dimensional spatial phase, which could result from being interconnected by a two-dimensional attractor. However, this architecture has the drawbacks of being complex to construct and rigid, allowing no deviations from the hexagonal pattern such as the ones observed under a variety of experimental manipulations. Here we show that a simpler one-dimensional attractor is enough to align grid cells equally well. Using topological data analysis, we show that the resulting population activity is a sample of a torus, while the ensemble of maps preserves features of the network architecture. The flexibility of this low dimensional attractor allows it to negotiate the geometry of the representation manifold with the feedforward inputs, rather than imposing it. More generally, our results represent a proof of principle against the intuition that the architecture and the representation manifold of an attractor are the same topological object, with implications to the study of attractor networks across the brain.
publishDate 2023
dc.date.none.fl_str_mv 2023-09
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/11336/237088
Benas, Sabrina Soledad; Fernández, Ximena Laura; Kropff, Emilio; Modeled grid cells aligned by a flexible attractor; eLife Sciences Publications; eLife; 9-2023; 1-44
2050-084X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/237088
identifier_str_mv Benas, Sabrina Soledad; Fernández, Ximena Laura; Kropff, Emilio; Modeled grid cells aligned by a flexible attractor; eLife Sciences Publications; eLife; 9-2023; 1-44
2050-084X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://elifesciences.org/reviewed-preprints/89851
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv eLife Sciences Publications
publisher.none.fl_str_mv eLife Sciences Publications
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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