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Dynamical and Coupling Structure of Pulse-Coupled Networks in Maximum Entropy Analysis
Maximum entropy principle (MEP) analysis with few non-zero effective interactions successfully characterizes the distribution of dynamical states of pulse-coupled networks in many fields, e.g., in neuroscience. To better understand the underlying mechanism, we found a relation between the dynamical...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514185/ https://www.ncbi.nlm.nih.gov/pubmed/33266793 http://dx.doi.org/10.3390/e21010076 |
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author | Xu, Zhi-Qin John Zhou, Douglas Cai, David |
author_facet | Xu, Zhi-Qin John Zhou, Douglas Cai, David |
author_sort | Xu, Zhi-Qin John |
collection | PubMed |
description | Maximum entropy principle (MEP) analysis with few non-zero effective interactions successfully characterizes the distribution of dynamical states of pulse-coupled networks in many fields, e.g., in neuroscience. To better understand the underlying mechanism, we found a relation between the dynamical structure, i.e., effective interactions in MEP analysis, and the anatomical coupling structure of pulse-coupled networks and it helps to understand how a sparse coupling structure could lead to a sparse coding by effective interactions. This relation quantitatively displays how the dynamical structure is closely related to the anatomical coupling structure. |
format | Online Article Text |
id | pubmed-7514185 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75141852020-11-09 Dynamical and Coupling Structure of Pulse-Coupled Networks in Maximum Entropy Analysis Xu, Zhi-Qin John Zhou, Douglas Cai, David Entropy (Basel) Article Maximum entropy principle (MEP) analysis with few non-zero effective interactions successfully characterizes the distribution of dynamical states of pulse-coupled networks in many fields, e.g., in neuroscience. To better understand the underlying mechanism, we found a relation between the dynamical structure, i.e., effective interactions in MEP analysis, and the anatomical coupling structure of pulse-coupled networks and it helps to understand how a sparse coupling structure could lead to a sparse coding by effective interactions. This relation quantitatively displays how the dynamical structure is closely related to the anatomical coupling structure. MDPI 2019-01-16 /pmc/articles/PMC7514185/ /pubmed/33266793 http://dx.doi.org/10.3390/e21010076 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Xu, Zhi-Qin John Zhou, Douglas Cai, David Dynamical and Coupling Structure of Pulse-Coupled Networks in Maximum Entropy Analysis |
title | Dynamical and Coupling Structure of Pulse-Coupled Networks in Maximum Entropy Analysis |
title_full | Dynamical and Coupling Structure of Pulse-Coupled Networks in Maximum Entropy Analysis |
title_fullStr | Dynamical and Coupling Structure of Pulse-Coupled Networks in Maximum Entropy Analysis |
title_full_unstemmed | Dynamical and Coupling Structure of Pulse-Coupled Networks in Maximum Entropy Analysis |
title_short | Dynamical and Coupling Structure of Pulse-Coupled Networks in Maximum Entropy Analysis |
title_sort | dynamical and coupling structure of pulse-coupled networks in maximum entropy analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514185/ https://www.ncbi.nlm.nih.gov/pubmed/33266793 http://dx.doi.org/10.3390/e21010076 |
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