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Intrinsic theta oscillation in the attractor network of grid cells

Both grid-like firing fields and theta oscillation are hallmarks of grid cells in the mammalian brain. While bump attractor dynamics have generally been recognized as the substrate for grid firing fields, how theta oscillation arises and interacts with persistent activity in a cortical circuit remai...

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Detalles Bibliográficos
Autores principales: Wang, Ziqun, Wang, Tao, Yang, Fan, Liu, Feng, Wang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10050492/
https://www.ncbi.nlm.nih.gov/pubmed/37009231
http://dx.doi.org/10.1016/j.isci.2023.106351
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author Wang, Ziqun
Wang, Tao
Yang, Fan
Liu, Feng
Wang, Wei
author_facet Wang, Ziqun
Wang, Tao
Yang, Fan
Liu, Feng
Wang, Wei
author_sort Wang, Ziqun
collection PubMed
description Both grid-like firing fields and theta oscillation are hallmarks of grid cells in the mammalian brain. While bump attractor dynamics have generally been recognized as the substrate for grid firing fields, how theta oscillation arises and interacts with persistent activity in a cortical circuit remains obscure. Here, we report that the theta oscillation intrinsically emerges in a continuous attractor network composed of principal neurons and interneurons. Periodic bump attractors and the theta rhythm stably coexist in both cell types due to the division of labor among interneurons via structured synaptic connectivity between principal cells and interneurons. The slow dynamics of NMDAR-mediated synaptic currents support the persistency of bump attractors and restrict the oscillation frequency in the theta band. The spikes of neurons within bump attractors are phase locked to a proxy of local field potential. The current work provides a network-level mechanism that orchestrates the bump attractor dynamics and theta rhythmicity.
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spelling pubmed-100504922023-03-30 Intrinsic theta oscillation in the attractor network of grid cells Wang, Ziqun Wang, Tao Yang, Fan Liu, Feng Wang, Wei iScience Article Both grid-like firing fields and theta oscillation are hallmarks of grid cells in the mammalian brain. While bump attractor dynamics have generally been recognized as the substrate for grid firing fields, how theta oscillation arises and interacts with persistent activity in a cortical circuit remains obscure. Here, we report that the theta oscillation intrinsically emerges in a continuous attractor network composed of principal neurons and interneurons. Periodic bump attractors and the theta rhythm stably coexist in both cell types due to the division of labor among interneurons via structured synaptic connectivity between principal cells and interneurons. The slow dynamics of NMDAR-mediated synaptic currents support the persistency of bump attractors and restrict the oscillation frequency in the theta band. The spikes of neurons within bump attractors are phase locked to a proxy of local field potential. The current work provides a network-level mechanism that orchestrates the bump attractor dynamics and theta rhythmicity. Elsevier 2023-03-14 /pmc/articles/PMC10050492/ /pubmed/37009231 http://dx.doi.org/10.1016/j.isci.2023.106351 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Ziqun
Wang, Tao
Yang, Fan
Liu, Feng
Wang, Wei
Intrinsic theta oscillation in the attractor network of grid cells
title Intrinsic theta oscillation in the attractor network of grid cells
title_full Intrinsic theta oscillation in the attractor network of grid cells
title_fullStr Intrinsic theta oscillation in the attractor network of grid cells
title_full_unstemmed Intrinsic theta oscillation in the attractor network of grid cells
title_short Intrinsic theta oscillation in the attractor network of grid cells
title_sort intrinsic theta oscillation in the attractor network of grid cells
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10050492/
https://www.ncbi.nlm.nih.gov/pubmed/37009231
http://dx.doi.org/10.1016/j.isci.2023.106351
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