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Editorial: Network Physiology, Insights in Dynamical Systems: 2021

Detalles Bibliográficos
Autor principal: Schöll, Eckehard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10013025/
https://www.ncbi.nlm.nih.gov/pubmed/36926056
http://dx.doi.org/10.3389/fnetp.2022.961339
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author Schöll, Eckehard
author_facet Schöll, Eckehard
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spelling pubmed-100130252023-03-15 Editorial: Network Physiology, Insights in Dynamical Systems: 2021 Schöll, Eckehard Front Netw Physiol Network Physiology Frontiers Media S.A. 2022-07-15 /pmc/articles/PMC10013025/ /pubmed/36926056 http://dx.doi.org/10.3389/fnetp.2022.961339 Text en Copyright © 2022 Schöll. 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 Network Physiology
Schöll, Eckehard
Editorial: Network Physiology, Insights in Dynamical Systems: 2021
title Editorial: Network Physiology, Insights in Dynamical Systems: 2021
title_full Editorial: Network Physiology, Insights in Dynamical Systems: 2021
title_fullStr Editorial: Network Physiology, Insights in Dynamical Systems: 2021
title_full_unstemmed Editorial: Network Physiology, Insights in Dynamical Systems: 2021
title_short Editorial: Network Physiology, Insights in Dynamical Systems: 2021
title_sort editorial: network physiology, insights in dynamical systems: 2021
topic Network Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10013025/
https://www.ncbi.nlm.nih.gov/pubmed/36926056
http://dx.doi.org/10.3389/fnetp.2022.961339
work_keys_str_mv AT scholleckehard editorialnetworkphysiologyinsightsindynamicalsystems2021