Literature DB >> 26565285

Basin stability for burst synchronization in small-world networks of chaotic slow-fast oscillators.

Oleg V Maslennikov1, Vladimir I Nekorkin1, Jürgen Kurths1,2.   

Abstract

The impact of connectivity and individual dynamics on the basin stability of the burst synchronization regime in small-world networks consisting of chaotic slow-fast oscillators is studied. It is shown that there are rewiring probabilities corresponding to the largest basin stabilities, which uncovers a reason for finding small-world topologies in real neuronal networks. The impact of coupling density and strength as well as the nodal parameters of relaxation or excitability are studied. Dynamic mechanisms are uncovered that most strongly influence basin stability of the burst synchronization regime.

Mesh：

Year:  2015        PMID： 26565285     DOI： 10.1103/PhysRevE.92.042803

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN： 1539-3755


  4 in total

1.  Transient sequences in a hypernetwork generated by an adaptive network of spiking neurons.

Authors:  Oleg V Maslennikov; Dmitry S Shchapin; Vladimir I Nekorkin
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2017-06-28       Impact factor: 4.226

2.  Cross-Frequency rs-fMRI Network Connectivity Patterns Manifest Differently for Schizophrenia Patients and Healthy Controls.

Authors:  Robyn L Miller; Maziar Yaesoubi; Vince D Calhoun
Journal:  IEEE Signal Process Lett       Date:  2016-08       Impact factor: 3.109

3.  Sample-based approach can outperform the classical dynamical analysis - experimental confirmation of the basin stability method.

Authors:  P Brzeski; J Wojewoda; T Kapitaniak; J Kurths; P Perlikowski
Journal:  Sci Rep       Date:  2017-07-21       Impact factor: 4.379

4.  Basin stability for chimera states.

Authors:  Sarbendu Rakshit; Bidesh K Bera; Matjaž Perc; Dibakar Ghosh
Journal:  Sci Rep       Date:  2017-05-25       Impact factor: 4.379
  4 in total

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