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| 001 | 201219 | ||
| 005 | 20230217124354.0 | ||
| 024 | 7 | _ | |a 10.1103/PhysRevE.82.056115 |2 doi |
| 024 | 7 | _ | |a 1063-651X |2 ISSN |
| 024 | 7 | _ | |a 1095-3787 |2 ISSN |
| 024 | 7 | _ | |a 1539-3755 |2 ISSN |
| 024 | 7 | _ | |a 1550-2376 |2 ISSN |
| 024 | 7 | _ | |a 2128/8713 |2 Handle |
| 024 | 7 | _ | |a WOS:000284405800001 |2 WOS |
| 037 | _ | _ | |a FZJ-2015-03524 |
| 082 | _ | _ | |a 530 |
| 100 | 1 | _ | |a Chen, Li |0 P:(DE-HGF)0 |b 0 |
| 245 | _ | _ | |a Coevolution of synchronous activity and connectivity in coupled chaotic oscillators |
| 260 | _ | _ | |a College Park, Md. |c 2010 |b APS |
| 264 | _ | 1 | |3 online |2 Crossref |b American Physical Society (APS) |c 2010-11-18 |
| 264 | _ | 1 | |3 print |2 Crossref |b American Physical Society (APS) |c 2010-11-01 |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1433770238_26780 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a article |2 DRIVER |
| 520 | _ | _ | |a We investigate the coevolution dynamics of node activities and coupling strengths in coupled chaotic oscillators via a simple threshold adaptive scheme. The coupling strength is synchronous activity regulated, which in turn is able to boost the synchronization remarkably. In the case of weak coupling, the globally coupled oscillators present a highly clustered functional connectivity with a power-law distribution in the tail with γ≃3.1, while for strong coupling, they self-organize into a network with a heterogeneously rich connectivity at the onset of synchronization but exhibit rather sparse structure to maintain the synchronization in noisy environment. The relevance of the results is briefly discussed. |
| 536 | _ | _ | |a 331 - Bacterial and Viral Pathogens (POF3-331) |0 G:(DE-HGF)POF3-331 |c POF3-331 |f POF III |x 0 |
| 542 | _ | _ | |i 2010-11-18 |2 Crossref |u http://link.aps.org/licenses/aps-default-license |
| 588 | _ | _ | |a Dataset connected to CrossRef, juser.fz-juelich.de |
| 700 | 1 | _ | |a Qiu, Can |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Huang, Hongbin |0 P:(DE-HGF)0 |b 2 |e Corresponding Author |
| 700 | 1 | _ | |a Qi, Guanxiao |0 P:(DE-Juel1)131702 |b 3 |u fzj |
| 700 | 1 | _ | |a Wang, Haijun |0 P:(DE-Juel1)166101 |b 4 |u fzj |
| 773 | 1 | 8 | |a 10.1103/physreve.82.056115 |b American Physical Society (APS) |d 2010-11-18 |n 5 |p 056115 |3 journal-article |2 Crossref |t Physical Review E |v 82 |y 2010 |x 1539-3755 |
| 773 | _ | _ | |a 10.1103/PhysRevE.82.056115 |g Vol. 82, no. 5, p. 056115 |0 PERI:(DE-600)2844562-4 |n 5 |p 056115 |t Physical review / E |v 82 |y 2010 |x 1539-3755 |
| 856 | 4 | _ | |y OpenAccess |u https://juser.fz-juelich.de/record/201219/files/PhysRevE.82.056115.pdf |
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| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)131702 |
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| 913 | 2 | _ | |a DE-HGF |b Key Technologies |l Decoding the Human Brain |1 G:(DE-HGF)POF3-570 |0 G:(DE-HGF)POF3-571 |2 G:(DE-HGF)POF3-500 |v Connectivity and Activity |x 0 |
| 913 | 1 | _ | |a DE-HGF |l Infektionsforschung |1 G:(DE-HGF)POF3-330 |0 G:(DE-HGF)POF3-331 |2 G:(DE-HGF)POF3-300 |v Bacterial and Viral Pathogens |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |b Gesundheit |
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