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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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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. |
format | Online Article Text |
id | pubmed-9085386 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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