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Models of Grid Cell Spatial Firing Published 2005–2011

Since the discovery of grid cells in rat entorhinal cortex, many models of their hexagonally arrayed spatial firing fields have been suggested. We review the models and organize them according to the mechanisms they use to encode position, update the positional code, read it out in the spatial grid...

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Detalles Bibliográficos
Autor principal: Zilli, Eric A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3328924/
https://www.ncbi.nlm.nih.gov/pubmed/22529780
http://dx.doi.org/10.3389/fncir.2012.00016
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author Zilli, Eric A.
author_facet Zilli, Eric A.
author_sort Zilli, Eric A.
collection PubMed
description Since the discovery of grid cells in rat entorhinal cortex, many models of their hexagonally arrayed spatial firing fields have been suggested. We review the models and organize them according to the mechanisms they use to encode position, update the positional code, read it out in the spatial grid pattern, and learn any patterned synaptic connections needed. We mention biological implementations of the models, but focus on the models on Marr’s algorithmic level, where they are not things to individually prove or disprove, but rather are a valuable collection of metaphors of the grid cell system for guiding research that are all likely true to some degree, with each simply emphasizing different aspects of the system. For the convenience of interested researchers, MATLAB implementations of the discussed grid cell models are provided at ModelDB accession 144006 or http://people.bu.edu/zilli/gridmodels.html.
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spelling pubmed-33289242012-04-23 Models of Grid Cell Spatial Firing Published 2005–2011 Zilli, Eric A. Front Neural Circuits Neuroscience Since the discovery of grid cells in rat entorhinal cortex, many models of their hexagonally arrayed spatial firing fields have been suggested. We review the models and organize them according to the mechanisms they use to encode position, update the positional code, read it out in the spatial grid pattern, and learn any patterned synaptic connections needed. We mention biological implementations of the models, but focus on the models on Marr’s algorithmic level, where they are not things to individually prove or disprove, but rather are a valuable collection of metaphors of the grid cell system for guiding research that are all likely true to some degree, with each simply emphasizing different aspects of the system. For the convenience of interested researchers, MATLAB implementations of the discussed grid cell models are provided at ModelDB accession 144006 or http://people.bu.edu/zilli/gridmodels.html. Frontiers Research Foundation 2012-04-18 /pmc/articles/PMC3328924/ /pubmed/22529780 http://dx.doi.org/10.3389/fncir.2012.00016 Text en Copyright © 2012 Zilli. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution Non Commercial License, which permits non-commercial use, distribution, and reproduction in other forums, provided the original authors and source are credited.
spellingShingle Neuroscience
Zilli, Eric A.
Models of Grid Cell Spatial Firing Published 2005–2011
title Models of Grid Cell Spatial Firing Published 2005–2011
title_full Models of Grid Cell Spatial Firing Published 2005–2011
title_fullStr Models of Grid Cell Spatial Firing Published 2005–2011
title_full_unstemmed Models of Grid Cell Spatial Firing Published 2005–2011
title_short Models of Grid Cell Spatial Firing Published 2005–2011
title_sort models of grid cell spatial firing published 2005–2011
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3328924/
https://www.ncbi.nlm.nih.gov/pubmed/22529780
http://dx.doi.org/10.3389/fncir.2012.00016
work_keys_str_mv AT zillierica modelsofgridcellspatialfiringpublished20052011