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A Model Combining Oscillations and Attractor Dynamics for Generation of Grid Cell Firing

Different models have been able to account for different features of the data on grid cell firing properties, including the relationship of grid cells to cellular properties and network oscillations. This paper describes a model that combines elements of two major classes of models of grid cells: mo...

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Detalles Bibliográficos
Autores principales: Hasselmo, Michael E., Brandon, Mark P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3361022/
https://www.ncbi.nlm.nih.gov/pubmed/22654735
http://dx.doi.org/10.3389/fncir.2012.00030
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author Hasselmo, Michael E.
Brandon, Mark P.
author_facet Hasselmo, Michael E.
Brandon, Mark P.
author_sort Hasselmo, Michael E.
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description Different models have been able to account for different features of the data on grid cell firing properties, including the relationship of grid cells to cellular properties and network oscillations. This paper describes a model that combines elements of two major classes of models of grid cells: models using interactions of oscillations and models using attractor dynamics. This model includes a population of units with oscillatory input representing input from the medial septum. These units are termed heading angle cells because their connectivity depends upon heading angle in the environment as well as the spatial phase coded by the cell. These cells project to a population of grid cells. The sum of the heading angle input results in standing waves of circularly symmetric input to the grid cell population. Feedback from the grid cell population increases the activity of subsets of the heading angle cells, resulting in the network settling into activity patterns that resemble the patterns of firing fields in a population of grid cells. The properties of heading angle cells firing as conjunctive grid-by-head-direction cells can shift the grid cell firing according to movement velocity. The pattern of interaction of oscillations requires use of separate populations that fire on alternate cycles of the net theta rhythmic input to grid cells.
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spelling pubmed-33610222012-05-31 A Model Combining Oscillations and Attractor Dynamics for Generation of Grid Cell Firing Hasselmo, Michael E. Brandon, Mark P. Front Neural Circuits Neuroscience Different models have been able to account for different features of the data on grid cell firing properties, including the relationship of grid cells to cellular properties and network oscillations. This paper describes a model that combines elements of two major classes of models of grid cells: models using interactions of oscillations and models using attractor dynamics. This model includes a population of units with oscillatory input representing input from the medial septum. These units are termed heading angle cells because their connectivity depends upon heading angle in the environment as well as the spatial phase coded by the cell. These cells project to a population of grid cells. The sum of the heading angle input results in standing waves of circularly symmetric input to the grid cell population. Feedback from the grid cell population increases the activity of subsets of the heading angle cells, resulting in the network settling into activity patterns that resemble the patterns of firing fields in a population of grid cells. The properties of heading angle cells firing as conjunctive grid-by-head-direction cells can shift the grid cell firing according to movement velocity. The pattern of interaction of oscillations requires use of separate populations that fire on alternate cycles of the net theta rhythmic input to grid cells. Frontiers Research Foundation 2012-05-28 /pmc/articles/PMC3361022/ /pubmed/22654735 http://dx.doi.org/10.3389/fncir.2012.00030 Text en Copyright © 2012 Hasselmo and Brandon. 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
Hasselmo, Michael E.
Brandon, Mark P.
A Model Combining Oscillations and Attractor Dynamics for Generation of Grid Cell Firing
title A Model Combining Oscillations and Attractor Dynamics for Generation of Grid Cell Firing
title_full A Model Combining Oscillations and Attractor Dynamics for Generation of Grid Cell Firing
title_fullStr A Model Combining Oscillations and Attractor Dynamics for Generation of Grid Cell Firing
title_full_unstemmed A Model Combining Oscillations and Attractor Dynamics for Generation of Grid Cell Firing
title_short A Model Combining Oscillations and Attractor Dynamics for Generation of Grid Cell Firing
title_sort model combining oscillations and attractor dynamics for generation of grid cell firing
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3361022/
https://www.ncbi.nlm.nih.gov/pubmed/22654735
http://dx.doi.org/10.3389/fncir.2012.00030
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