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A local measure of symmetry and orientation for individual spikes of grid cells

Grid cells have attracted broad attention because of their highly symmetric hexagonal firing patterns. Recently, research has shifted its focus from the global symmetry of grid cell activity to local distortions both in space and time, such as drifts in orientation, local defects of the hexagonal sy...

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Detalles Bibliográficos
Autores principales: Weber, Simon N., Sprekeler, Henning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6382163/
https://www.ncbi.nlm.nih.gov/pubmed/30730888
http://dx.doi.org/10.1371/journal.pcbi.1006804
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author Weber, Simon N.
Sprekeler, Henning
author_facet Weber, Simon N.
Sprekeler, Henning
author_sort Weber, Simon N.
collection PubMed
description Grid cells have attracted broad attention because of their highly symmetric hexagonal firing patterns. Recently, research has shifted its focus from the global symmetry of grid cell activity to local distortions both in space and time, such as drifts in orientation, local defects of the hexagonal symmetry, and the decay and reappearance of grid patterns after changes in lighting condition. Here, we introduce a method that allows to visualize and quantify such local distortions, by assigning both a local grid score and a local orientation to each individual spike of a neuronal recording. The score is inspired by a standard measure from crystallography, which has been introduced to quantify local order in crystals. By averaging over spikes recorded within arbitrary regions or time periods, we can quantify local variations in symmetry and orientation of firing patterns in both space and time.
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spelling pubmed-63821632019-03-01 A local measure of symmetry and orientation for individual spikes of grid cells Weber, Simon N. Sprekeler, Henning PLoS Comput Biol Research Article Grid cells have attracted broad attention because of their highly symmetric hexagonal firing patterns. Recently, research has shifted its focus from the global symmetry of grid cell activity to local distortions both in space and time, such as drifts in orientation, local defects of the hexagonal symmetry, and the decay and reappearance of grid patterns after changes in lighting condition. Here, we introduce a method that allows to visualize and quantify such local distortions, by assigning both a local grid score and a local orientation to each individual spike of a neuronal recording. The score is inspired by a standard measure from crystallography, which has been introduced to quantify local order in crystals. By averaging over spikes recorded within arbitrary regions or time periods, we can quantify local variations in symmetry and orientation of firing patterns in both space and time. Public Library of Science 2019-02-07 /pmc/articles/PMC6382163/ /pubmed/30730888 http://dx.doi.org/10.1371/journal.pcbi.1006804 Text en © 2019 Weber, Sprekeler http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Weber, Simon N.
Sprekeler, Henning
A local measure of symmetry and orientation for individual spikes of grid cells
title A local measure of symmetry and orientation for individual spikes of grid cells
title_full A local measure of symmetry and orientation for individual spikes of grid cells
title_fullStr A local measure of symmetry and orientation for individual spikes of grid cells
title_full_unstemmed A local measure of symmetry and orientation for individual spikes of grid cells
title_short A local measure of symmetry and orientation for individual spikes of grid cells
title_sort local measure of symmetry and orientation for individual spikes of grid cells
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6382163/
https://www.ncbi.nlm.nih.gov/pubmed/30730888
http://dx.doi.org/10.1371/journal.pcbi.1006804
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