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Intrinsic and Synaptic Properties Shaping Diverse Behaviors of Neural Dynamics

The majority of neurons in the neuronal system of the brain have a complex morphological structure, which diversifies the dynamics of neurons. In the granular layer of the cerebellum, there exists a unique cell type, the unipolar brush cell (UBC), that serves as an important relay cell for transferr...

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Autores principales: An, Lingling, Tang, Yuanhong, Wang, Doudou, Jia, Shanshan, Pei, Qingqi, Wang, Quan, Yu, Zhaofei, Liu, Jian K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7187274/
https://www.ncbi.nlm.nih.gov/pubmed/32372936
http://dx.doi.org/10.3389/fncom.2020.00026
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author An, Lingling
Tang, Yuanhong
Wang, Doudou
Jia, Shanshan
Pei, Qingqi
Wang, Quan
Yu, Zhaofei
Liu, Jian K.
author_facet An, Lingling
Tang, Yuanhong
Wang, Doudou
Jia, Shanshan
Pei, Qingqi
Wang, Quan
Yu, Zhaofei
Liu, Jian K.
author_sort An, Lingling
collection PubMed
description The majority of neurons in the neuronal system of the brain have a complex morphological structure, which diversifies the dynamics of neurons. In the granular layer of the cerebellum, there exists a unique cell type, the unipolar brush cell (UBC), that serves as an important relay cell for transferring information from outside mossy fibers to downstream granule cells. The distinguishing feature of the UBC is that it has a simple morphology, with only one short dendritic brush connected to its soma. Based on experimental evidence showing that UBCs exhibit a variety of dynamic behaviors, here we develop two simple models, one with a few detailed ion channels for simulation and the other one as a two-variable dynamical system for theoretical analysis, to characterize the intrinsic dynamics of UBCs. The reasonable values of the key channel parameters of the models can be determined by analysis of the stability of the resting membrane potential and the rebound firing properties of UBCs. Considered together with a large variety of synaptic dynamics installed on UBCs, we show that the simple-structured UBCs, as relay cells, can extend the range of dynamics and information from input mossy fibers to granule cells with low-frequency resonance and transfer stereotyped inputs to diverse amplitudes and phases of the output for downstream granule cells. These results suggest that neuronal computation, embedded within intrinsic ion channels and the diverse synaptic properties of single neurons without sophisticated morphology, can shape a large variety of dynamic behaviors to enhance the computational ability of local neuronal circuits.
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spelling pubmed-71872742020-05-05 Intrinsic and Synaptic Properties Shaping Diverse Behaviors of Neural Dynamics An, Lingling Tang, Yuanhong Wang, Doudou Jia, Shanshan Pei, Qingqi Wang, Quan Yu, Zhaofei Liu, Jian K. Front Comput Neurosci Neuroscience The majority of neurons in the neuronal system of the brain have a complex morphological structure, which diversifies the dynamics of neurons. In the granular layer of the cerebellum, there exists a unique cell type, the unipolar brush cell (UBC), that serves as an important relay cell for transferring information from outside mossy fibers to downstream granule cells. The distinguishing feature of the UBC is that it has a simple morphology, with only one short dendritic brush connected to its soma. Based on experimental evidence showing that UBCs exhibit a variety of dynamic behaviors, here we develop two simple models, one with a few detailed ion channels for simulation and the other one as a two-variable dynamical system for theoretical analysis, to characterize the intrinsic dynamics of UBCs. The reasonable values of the key channel parameters of the models can be determined by analysis of the stability of the resting membrane potential and the rebound firing properties of UBCs. Considered together with a large variety of synaptic dynamics installed on UBCs, we show that the simple-structured UBCs, as relay cells, can extend the range of dynamics and information from input mossy fibers to granule cells with low-frequency resonance and transfer stereotyped inputs to diverse amplitudes and phases of the output for downstream granule cells. These results suggest that neuronal computation, embedded within intrinsic ion channels and the diverse synaptic properties of single neurons without sophisticated morphology, can shape a large variety of dynamic behaviors to enhance the computational ability of local neuronal circuits. Frontiers Media S.A. 2020-04-21 /pmc/articles/PMC7187274/ /pubmed/32372936 http://dx.doi.org/10.3389/fncom.2020.00026 Text en Copyright © 2020 An, Tang, Wang, Jia, Pei, Wang, Yu and Liu. http://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
An, Lingling
Tang, Yuanhong
Wang, Doudou
Jia, Shanshan
Pei, Qingqi
Wang, Quan
Yu, Zhaofei
Liu, Jian K.
Intrinsic and Synaptic Properties Shaping Diverse Behaviors of Neural Dynamics
title Intrinsic and Synaptic Properties Shaping Diverse Behaviors of Neural Dynamics
title_full Intrinsic and Synaptic Properties Shaping Diverse Behaviors of Neural Dynamics
title_fullStr Intrinsic and Synaptic Properties Shaping Diverse Behaviors of Neural Dynamics
title_full_unstemmed Intrinsic and Synaptic Properties Shaping Diverse Behaviors of Neural Dynamics
title_short Intrinsic and Synaptic Properties Shaping Diverse Behaviors of Neural Dynamics
title_sort intrinsic and synaptic properties shaping diverse behaviors of neural dynamics
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7187274/
https://www.ncbi.nlm.nih.gov/pubmed/32372936
http://dx.doi.org/10.3389/fncom.2020.00026
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