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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...

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Autores principales: Wang, Chaoming, Li, Shangyang, Wu, Si
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
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.
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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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