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Analysis of the Neuron Dynamics in Thalamic Reticular Nucleus by a Reduced Model
Strategically located between the thalamus and the cortex, the inhibitory thalamic reticular nucleus (TRN) is a hub to regulate selective attention during wakefulness and control the thalamic and cortical oscillations during sleep. A salient feature of TRN neurons contributing to these functions is...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8635031/ https://www.ncbi.nlm.nih.gov/pubmed/34867253 http://dx.doi.org/10.3389/fncom.2021.764153 |
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author | Wang, Chaoming Li, Shangyang Wu, Si |
author_facet | Wang, Chaoming Li, Shangyang Wu, Si |
author_sort | Wang, Chaoming |
collection | PubMed |
description | Strategically located between the thalamus and the cortex, the inhibitory thalamic reticular nucleus (TRN) is a hub to regulate selective attention during wakefulness and control the thalamic and cortical oscillations during sleep. A salient feature of TRN neurons contributing to these functions is their characteristic firing patterns, ranging in a continuum from tonic spiking to bursting spiking. However, the dynamical mechanism under these firing behaviors is not well understood. In this study, by applying a reduction method to a full conductance-based neuron model, we construct a reduced three-variable model to investigate the dynamics of TRN neurons. We show that the reduced model can effectively reproduce the spiking patterns of TRN neurons as observed in vivo and in vitro experiments, and meanwhile allow us to perform bifurcation analysis of the spiking dynamics. Specifically, we demonstrate that the rebound bursting of a TRN neuron is a type of “fold/homo-clinic” bifurcation, and the tonic spiking is the fold cycle bifurcation. Further one-parameter bifurcation analysis reveals that the transition between these discharge patterns can be controlled by the external current. We expect that this reduced neuron model will help us to further study the complicated dynamics and functions of the TRN network. |
format | Online Article Text |
id | pubmed-8635031 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86350312021-12-02 Analysis of the Neuron Dynamics in Thalamic Reticular Nucleus by a Reduced Model Wang, Chaoming Li, Shangyang Wu, Si Front Comput Neurosci Neuroscience Strategically located between the thalamus and the cortex, the inhibitory thalamic reticular nucleus (TRN) is a hub to regulate selective attention during wakefulness and control the thalamic and cortical oscillations during sleep. A salient feature of TRN neurons contributing to these functions is their characteristic firing patterns, ranging in a continuum from tonic spiking to bursting spiking. However, the dynamical mechanism under these firing behaviors is not well understood. In this study, by applying a reduction method to a full conductance-based neuron model, we construct a reduced three-variable model to investigate the dynamics of TRN neurons. We show that the reduced model can effectively reproduce the spiking patterns of TRN neurons as observed in vivo and in vitro experiments, and meanwhile allow us to perform bifurcation analysis of the spiking dynamics. Specifically, we demonstrate that the rebound bursting of a TRN neuron is a type of “fold/homo-clinic” bifurcation, and the tonic spiking is the fold cycle bifurcation. Further one-parameter bifurcation analysis reveals that the transition between these discharge patterns can be controlled by the external current. We expect that this reduced neuron model will help us to further study the complicated dynamics and functions of the TRN network. Frontiers Media S.A. 2021-11-16 /pmc/articles/PMC8635031/ /pubmed/34867253 http://dx.doi.org/10.3389/fncom.2021.764153 Text en Copyright © 2021 Wang, Li and Wu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Wang, Chaoming Li, Shangyang Wu, Si Analysis of the Neuron Dynamics in Thalamic Reticular Nucleus by a Reduced Model |
title | Analysis of the Neuron Dynamics in Thalamic Reticular Nucleus by a Reduced Model |
title_full | Analysis of the Neuron Dynamics in Thalamic Reticular Nucleus by a Reduced Model |
title_fullStr | Analysis of the Neuron Dynamics in Thalamic Reticular Nucleus by a Reduced Model |
title_full_unstemmed | Analysis of the Neuron Dynamics in Thalamic Reticular Nucleus by a Reduced Model |
title_short | Analysis of the Neuron Dynamics in Thalamic Reticular Nucleus by a Reduced Model |
title_sort | analysis of the neuron dynamics in thalamic reticular nucleus by a reduced model |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8635031/ https://www.ncbi.nlm.nih.gov/pubmed/34867253 http://dx.doi.org/10.3389/fncom.2021.764153 |
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