Size matters: How scaling affects the interaction between grid and border cells

Many hippocampal cell types are characterized by a progressive increase in scale along the dorsal-to-ventral axis, such as in the cases of head-direction, grid and place cells. Also located in the medial entorhinal cortex (MEC), border cells would be expected to benefit from such scale modulations....

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Autores: Santos-Pata, Diogo, Zucca, Riccardo, Low, Sock Ching, Verschure, Paul F. M. J.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:España
Institución:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/47952
Acceso en línea:http://hdl.handle.net/10230/47952
http://dx.doi.org/10.3389/fncom.2017.00065
Access Level:acceso abierto
Palabra clave:Grid cells
Border cells
Error minimization
Path integration
Navigation
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spelling Size matters: How scaling affects the interaction between grid and border cellsSantos-Pata, DiogoZucca, RiccardoLow, Sock ChingVerschure, Paul F. M. J.Grid cellsBorder cellsError minimizationPath integrationNavigationMany hippocampal cell types are characterized by a progressive increase in scale along the dorsal-to-ventral axis, such as in the cases of head-direction, grid and place cells. Also located in the medial entorhinal cortex (MEC), border cells would be expected to benefit from such scale modulations. However, this phenomenon has not been experimentally observed. Grid cells in the MEC of mammals integrate velocity related signals to map the environment with characteristic hexagonal tessellation patterns. Due to the noisy nature of these input signals, path integration processes tend to accumulate errors as animals explore the environment, leading to a loss of grid-like activity. It has been suggested that border-to-grid cells' associations minimize the accumulated grid cells' error when rodents explore enclosures. Thus, the border-grid interaction for error minimization is a suitable scenario to study the effects of border cell scaling within the context of spatial representation. In this study, we computationally address the question of (i) border cells' scale from the perspective of their role in maintaining the regularity of grid cells' firing fields, as well as (ii) what are the underlying mechanisms of grid-border associations relative to the scales of both grid and border cells. Our results suggest that for optimal contribution to grid cells' error minimization, border cells should express smaller firing fields relative to those of the associated grid cells, which is consistent with the hypothesis of border cells functioning as spatial anchoring signals.The research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Programme (FP7/2007–2013)/ERC grant agreement no (341196) cDAC. H2020-SocSMC (socSMC-641321H2020-FETPROACT- 2014).Frontiers202120212017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/47952http://dx.doi.org/10.3389/fncom.2017.00065reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésFrontiers in Computational Neuroscience. 2017;11:65info:eu-repo/grantAgreement/EC/FP7/341196info:eu-repo/grantAgreement/EC/H2020/641321© 2017 Santos-Pata, Zucca, Low and Verschure. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) https://creativecommons.org/licenses/by/4.0/. The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/479522026-06-12T07:21:37Z
dc.title.none.fl_str_mv Size matters: How scaling affects the interaction between grid and border cells
title Size matters: How scaling affects the interaction between grid and border cells
spellingShingle Size matters: How scaling affects the interaction between grid and border cells
Santos-Pata, Diogo
Grid cells
Border cells
Error minimization
Path integration
Navigation
title_short Size matters: How scaling affects the interaction between grid and border cells
title_full Size matters: How scaling affects the interaction between grid and border cells
title_fullStr Size matters: How scaling affects the interaction between grid and border cells
title_full_unstemmed Size matters: How scaling affects the interaction between grid and border cells
title_sort Size matters: How scaling affects the interaction between grid and border cells
dc.creator.none.fl_str_mv Santos-Pata, Diogo
Zucca, Riccardo
Low, Sock Ching
Verschure, Paul F. M. J.
author Santos-Pata, Diogo
author_facet Santos-Pata, Diogo
Zucca, Riccardo
Low, Sock Ching
Verschure, Paul F. M. J.
author_role author
author2 Zucca, Riccardo
Low, Sock Ching
Verschure, Paul F. M. J.
author2_role author
author
author
dc.subject.none.fl_str_mv Grid cells
Border cells
Error minimization
Path integration
Navigation
topic Grid cells
Border cells
Error minimization
Path integration
Navigation
description Many hippocampal cell types are characterized by a progressive increase in scale along the dorsal-to-ventral axis, such as in the cases of head-direction, grid and place cells. Also located in the medial entorhinal cortex (MEC), border cells would be expected to benefit from such scale modulations. However, this phenomenon has not been experimentally observed. Grid cells in the MEC of mammals integrate velocity related signals to map the environment with characteristic hexagonal tessellation patterns. Due to the noisy nature of these input signals, path integration processes tend to accumulate errors as animals explore the environment, leading to a loss of grid-like activity. It has been suggested that border-to-grid cells' associations minimize the accumulated grid cells' error when rodents explore enclosures. Thus, the border-grid interaction for error minimization is a suitable scenario to study the effects of border cell scaling within the context of spatial representation. In this study, we computationally address the question of (i) border cells' scale from the perspective of their role in maintaining the regularity of grid cells' firing fields, as well as (ii) what are the underlying mechanisms of grid-border associations relative to the scales of both grid and border cells. Our results suggest that for optimal contribution to grid cells' error minimization, border cells should express smaller firing fields relative to those of the associated grid cells, which is consistent with the hypothesis of border cells functioning as spatial anchoring signals.
publishDate 2017
dc.date.none.fl_str_mv 2017
2021
2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/47952
http://dx.doi.org/10.3389/fncom.2017.00065
url http://hdl.handle.net/10230/47952
http://dx.doi.org/10.3389/fncom.2017.00065
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Frontiers in Computational Neuroscience. 2017;11:65
info:eu-repo/grantAgreement/EC/FP7/341196
info:eu-repo/grantAgreement/EC/H2020/641321
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info:eu-repo/semantics/openAccess
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dc.source.none.fl_str_mv reponame:Repositorio Digital de la UPF
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