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The self-organization of grid cells in 3D

Do we expect periodic grid cells to emerge in bats, or perhaps dolphins, exploring a three-dimensional environment? How long will it take? Our self-organizing model, based on ring-rate adaptation, points at a complex answer. The mathematical analysis leads to asymptotic states resembling face center...

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Detalles Bibliográficos
Autores principales: Stella, Federico, Treves, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4453437/
https://www.ncbi.nlm.nih.gov/pubmed/25821989
http://dx.doi.org/10.7554/eLife.05913
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author Stella, Federico
Treves, Alessandro
author_facet Stella, Federico
Treves, Alessandro
author_sort Stella, Federico
collection PubMed
description Do we expect periodic grid cells to emerge in bats, or perhaps dolphins, exploring a three-dimensional environment? How long will it take? Our self-organizing model, based on ring-rate adaptation, points at a complex answer. The mathematical analysis leads to asymptotic states resembling face centered cubic (FCC) and hexagonal close packed (HCP) crystal structures, which are calculated to be very close to each other in terms of cost function. The simulation of the full model, however, shows that the approach to such asymptotic states involves several sub-processes over distinct time scales. The smoothing of the initially irregular multiple fields of individual units and their arrangement into hexagonal grids over certain best planes are observed to occur relatively quickly, even in large 3D volumes. The correct mutual orientation of the planes, though, and the coordinated arrangement of different units, take a longer time, with the network showing no sign of convergence towards either a pure FCC or HCP ordering. DOI: http://dx.doi.org/10.7554/eLife.05913.001
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spelling pubmed-44534372015-06-04 The self-organization of grid cells in 3D Stella, Federico Treves, Alessandro eLife Neuroscience Do we expect periodic grid cells to emerge in bats, or perhaps dolphins, exploring a three-dimensional environment? How long will it take? Our self-organizing model, based on ring-rate adaptation, points at a complex answer. The mathematical analysis leads to asymptotic states resembling face centered cubic (FCC) and hexagonal close packed (HCP) crystal structures, which are calculated to be very close to each other in terms of cost function. The simulation of the full model, however, shows that the approach to such asymptotic states involves several sub-processes over distinct time scales. The smoothing of the initially irregular multiple fields of individual units and their arrangement into hexagonal grids over certain best planes are observed to occur relatively quickly, even in large 3D volumes. The correct mutual orientation of the planes, though, and the coordinated arrangement of different units, take a longer time, with the network showing no sign of convergence towards either a pure FCC or HCP ordering. DOI: http://dx.doi.org/10.7554/eLife.05913.001 eLife Sciences Publications, Ltd 2015-03-30 /pmc/articles/PMC4453437/ /pubmed/25821989 http://dx.doi.org/10.7554/eLife.05913 Text en © 2015, Stella and Treves https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Neuroscience
Stella, Federico
Treves, Alessandro
The self-organization of grid cells in 3D
title The self-organization of grid cells in 3D
title_full The self-organization of grid cells in 3D
title_fullStr The self-organization of grid cells in 3D
title_full_unstemmed The self-organization of grid cells in 3D
title_short The self-organization of grid cells in 3D
title_sort self-organization of grid cells in 3d
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4453437/
https://www.ncbi.nlm.nih.gov/pubmed/25821989
http://dx.doi.org/10.7554/eLife.05913
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