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Fixed Point Attractor Theory Bridges Structure and Function in C. elegans Neuronal Network

Understanding the structure–function relationship in a neuronal network is one of the major challenges in neuroscience research. Despite increasing researches at circuit connectivity and neural network structure, their structure-based biological interpretability remains unclear. Based on the attract...

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Autores principales: Liu, Jian, Lu, Wenbo, Yuan, Ye, Xin, Kuankuan, Zhao, Peng, Gu, Xiao, Raza, Asif, Huo, Hong, Li, Zhaoyu, Fang, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9085386/
https://www.ncbi.nlm.nih.gov/pubmed/35546893
http://dx.doi.org/10.3389/fnins.2022.808824
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author Liu, Jian
Lu, Wenbo
Yuan, Ye
Xin, Kuankuan
Zhao, Peng
Gu, Xiao
Raza, Asif
Huo, Hong
Li, Zhaoyu
Fang, Tao
author_facet Liu, Jian
Lu, Wenbo
Yuan, Ye
Xin, Kuankuan
Zhao, Peng
Gu, Xiao
Raza, Asif
Huo, Hong
Li, Zhaoyu
Fang, Tao
author_sort Liu, Jian
collection PubMed
description Understanding the structure–function relationship in a neuronal network is one of the major challenges in neuroscience research. Despite increasing researches at circuit connectivity and neural network structure, their structure-based biological interpretability remains unclear. Based on the attractor theory, here we develop an analytical framework that links neural circuit structures and their functions together through fixed point attractor in Caenorhabditis elegans. In this framework, we successfully established the structural condition for the emergence of multiple fixed points in C. elegans connectome. Then we construct a finite state machine to explain how functions related to bistable phenomena at the neural activity and behavioral levels are encoded. By applying the proposed framework to the command circuit in C. elegans, we provide a circuit level interpretation for the forward-reverse switching behaviors. Interestingly, network properties of the command circuit and first layer amphid interneuron circuit can also be inferred from their functions in this framework. Our research indicates the reliability of the fixed point attractor bridging circuit structure and functions, suggesting its potential applicability to more complex neuronal circuits in other species.
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spelling pubmed-90853862022-05-10 Fixed Point Attractor Theory Bridges Structure and Function in C. elegans Neuronal Network Liu, Jian Lu, Wenbo Yuan, Ye Xin, Kuankuan Zhao, Peng Gu, Xiao Raza, Asif Huo, Hong Li, Zhaoyu Fang, Tao Front Neurosci Neuroscience Understanding the structure–function relationship in a neuronal network is one of the major challenges in neuroscience research. Despite increasing researches at circuit connectivity and neural network structure, their structure-based biological interpretability remains unclear. Based on the attractor theory, here we develop an analytical framework that links neural circuit structures and their functions together through fixed point attractor in Caenorhabditis elegans. In this framework, we successfully established the structural condition for the emergence of multiple fixed points in C. elegans connectome. Then we construct a finite state machine to explain how functions related to bistable phenomena at the neural activity and behavioral levels are encoded. By applying the proposed framework to the command circuit in C. elegans, we provide a circuit level interpretation for the forward-reverse switching behaviors. Interestingly, network properties of the command circuit and first layer amphid interneuron circuit can also be inferred from their functions in this framework. Our research indicates the reliability of the fixed point attractor bridging circuit structure and functions, suggesting its potential applicability to more complex neuronal circuits in other species. Frontiers Media S.A. 2022-04-25 /pmc/articles/PMC9085386/ /pubmed/35546893 http://dx.doi.org/10.3389/fnins.2022.808824 Text en Copyright © 2022 Liu, Lu, Yuan, Xin, Zhao, Gu, Raza, Huo, Li and Fang. 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
Liu, Jian
Lu, Wenbo
Yuan, Ye
Xin, Kuankuan
Zhao, Peng
Gu, Xiao
Raza, Asif
Huo, Hong
Li, Zhaoyu
Fang, Tao
Fixed Point Attractor Theory Bridges Structure and Function in C. elegans Neuronal Network
title Fixed Point Attractor Theory Bridges Structure and Function in C. elegans Neuronal Network
title_full Fixed Point Attractor Theory Bridges Structure and Function in C. elegans Neuronal Network
title_fullStr Fixed Point Attractor Theory Bridges Structure and Function in C. elegans Neuronal Network
title_full_unstemmed Fixed Point Attractor Theory Bridges Structure and Function in C. elegans Neuronal Network
title_short Fixed Point Attractor Theory Bridges Structure and Function in C. elegans Neuronal Network
title_sort fixed point attractor theory bridges structure and function in c. elegans neuronal network
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9085386/
https://www.ncbi.nlm.nih.gov/pubmed/35546893
http://dx.doi.org/10.3389/fnins.2022.808824
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