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Title:Determinants of collective failure in excitable networks
Authors:ID Barać, Uroš (Author)
ID Perc, Matjaž (Author)
ID Gosak, Marko (Author)
Files:.pdf RAZ_Barac_Uros_2023.pdf (6,87 MB)
MD5: 4F73E1AAB72B2529EF9E2BA71DCB650F
 
URL https://doi.org/10.1063/5.0149578
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:FNM - Faculty of Natural Sciences and Mathematics
Abstract:We study collective failures in biologically realistic networks that consist of coupled excitable units. The networks have broad-scale degree distribution, high modularity, and small-world properties, while the excitable dynamics is determined by the paradigmatic FitzHugh–Nagumo model. We consider different coupling strengths, bifurcation distances, and various aging scenarios as potential culprits of collective failure. We find that for intermediate coupling strengths, the network remains globally active the longest if the high-degree nodes are first targets for inactivation. This agrees well with previously published results, which showed that oscillatory networks can be highly fragile to the targeted inactivation of low-degree nodes, especially under weak coupling. However, we also show that the most efficient strategy to enact collective failure does not only non-monotonically depend on the coupling strength, but it also depends on the distance from the bifurcation point to the oscillatory behavior of individual excitable units. Altogether, we provide a comprehensive account of determinants of collective failure in excitable networks, and we hope this will prove useful for better understanding breakdowns in systems that are subject to such dynamics.
Keywords:collective behavior, excitable media, complex network, neuronal dynamics
Publication status:Published
Publication version:Version of Record
Submitted for review:07.03.2023
Article acceptance date:27.03.2023
Publication date:12.04.2023
Publisher:American Institute of Physics
Year of publishing:2023
Number of pages:Str. 1-9
Numbering:Letn. 33, Št. 4, št. članka 043120
PID:20.500.12556/DKUM-88144 New window
UDC:53
ISSN on article:1054-1500
COBISS.SI-ID:149413891 New window
DOI:10.1063/5.0149578 New window
Publication date in DKUM:10.06.2024
Views:338
Downloads:44
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Chaos
Shortened title:Chaos
Publisher:American Institute of Physics
ISSN:1054-1500
COBISS.SI-ID:2800167 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P3-0396-2019
Name:Celične in tkivne mreže

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P1-0403-2019
Name:Računsko intenzivni kompleksni sistemi

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:I0-0029-2022
Name:Infrastrukturna dejavnost Univerze v Mariboru

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J3-3077-2021
Name:Analiza kolektivne celične aktivnosti v normalnih in diabetičnih pankreatičnih otočkih s principi večplastnih mrež

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J1-2457-2020
Name:Fazni prehodi proti koordinaciji v večplastnih omrežjih

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:12.04.2023

Secondary language

Language:Slovenian
Keywords:kolektivno obnašanje, ekscitabilni medij, kompleksno omrežje, nevronska dinamika


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