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Modeling Boundary Vector Cell Firing Given Optic Flow as a Cue

Boundary vector cells in entorhinal cortex fire when a rat is in locations at a specific distance from walls of an environment. This firing may originate from memory of the barrier location combined with path integration, or the firing may depend upon the apparent visual input image stream. The mode...

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Detalles Bibliográficos
Autores principales: Raudies, Florian, Hasselmo, Michael E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3386186/
https://www.ncbi.nlm.nih.gov/pubmed/22761557
http://dx.doi.org/10.1371/journal.pcbi.1002553
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author Raudies, Florian
Hasselmo, Michael E.
author_facet Raudies, Florian
Hasselmo, Michael E.
author_sort Raudies, Florian
collection PubMed
description Boundary vector cells in entorhinal cortex fire when a rat is in locations at a specific distance from walls of an environment. This firing may originate from memory of the barrier location combined with path integration, or the firing may depend upon the apparent visual input image stream. The modeling work presented here investigates the role of optic flow, the apparent change of patterns of light on the retina, as input for boundary vector cell firing. Analytical spherical flow is used by a template model to segment walls from the ground, to estimate self-motion and the distance and allocentric direction of walls, and to detect drop-offs. Distance estimates of walls in an empty circular or rectangular box have a mean error of less than or equal to two centimeters. Integrating these estimates into a visually driven boundary vector cell model leads to the firing patterns characteristic for boundary vector cells. This suggests that optic flow can influence the firing of boundary vector cells.
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spelling pubmed-33861862012-07-03 Modeling Boundary Vector Cell Firing Given Optic Flow as a Cue Raudies, Florian Hasselmo, Michael E. PLoS Comput Biol Research Article Boundary vector cells in entorhinal cortex fire when a rat is in locations at a specific distance from walls of an environment. This firing may originate from memory of the barrier location combined with path integration, or the firing may depend upon the apparent visual input image stream. The modeling work presented here investigates the role of optic flow, the apparent change of patterns of light on the retina, as input for boundary vector cell firing. Analytical spherical flow is used by a template model to segment walls from the ground, to estimate self-motion and the distance and allocentric direction of walls, and to detect drop-offs. Distance estimates of walls in an empty circular or rectangular box have a mean error of less than or equal to two centimeters. Integrating these estimates into a visually driven boundary vector cell model leads to the firing patterns characteristic for boundary vector cells. This suggests that optic flow can influence the firing of boundary vector cells. Public Library of Science 2012-06-28 /pmc/articles/PMC3386186/ /pubmed/22761557 http://dx.doi.org/10.1371/journal.pcbi.1002553 Text en Raudies, Hasselmo. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Raudies, Florian
Hasselmo, Michael E.
Modeling Boundary Vector Cell Firing Given Optic Flow as a Cue
title Modeling Boundary Vector Cell Firing Given Optic Flow as a Cue
title_full Modeling Boundary Vector Cell Firing Given Optic Flow as a Cue
title_fullStr Modeling Boundary Vector Cell Firing Given Optic Flow as a Cue
title_full_unstemmed Modeling Boundary Vector Cell Firing Given Optic Flow as a Cue
title_short Modeling Boundary Vector Cell Firing Given Optic Flow as a Cue
title_sort modeling boundary vector cell firing given optic flow as a cue
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3386186/
https://www.ncbi.nlm.nih.gov/pubmed/22761557
http://dx.doi.org/10.1371/journal.pcbi.1002553
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