Literature DB >> 15904412

Synchronization of bursting neurons: what matters in the network topology.

Igor Belykh1, Enno de Lange, Martin Hasler.   

Abstract

We study the influence of coupling strength and network topology on synchronization behavior in pulse-coupled networks of bursting Hindmarsh-Rose neurons. Surprisingly, we find that the stability of the completely synchronous state in such networks only depends on the number of signals each neuron receives, independent of all other details of the network topology. This is in contrast with linearly coupled bursting neurons where complete synchrony strongly depends on the network structure and number of cells. Through analysis and numerics, we show that the onset of synchrony in a network with any coupling topology admitting complete synchronization is ensured by one single condition.

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Year:  2005        PMID: 15904412     DOI: 10.1103/PhysRevLett.94.188101

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  30 in total

1.  Network synchronization landscape reveals compensatory structures, quantization, and the positive effect of negative interactions.

Authors:  Takashi Nishikawa; Adilson E Motter
Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-20       Impact factor: 11.205

2.  Phase-response curves and synchronized neural networks.

Authors:  Roy M Smeal; G Bard Ermentrout; John A White
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-08-12       Impact factor: 6.237

3.  Firing responses of bursting neurons with delayed feedback.

Authors:  Hui-Ying Wu; Peter A Robinson; Jong Won Kim
Journal:  J Comput Neurosci       Date:  2010-12-17       Impact factor: 1.621

4.  Frequency-domain order parameters for the burst and spike synchronization transitions of bursting neurons.

Authors:  Sang-Yoon Kim; Woochang Lim
Journal:  Cogn Neurodyn       Date:  2015-03-14       Impact factor: 5.082

5.  Dwelling quietly in the rich club: brain network determinants of slow cortical fluctuations.

Authors:  Leonardo L Gollo; Andrew Zalesky; R Matthew Hutchison; Martijn van den Heuvel; Michael Breakspear
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-05-19       Impact factor: 6.237

6.  When two wrongs make a right: synchronized neuronal bursting from combined electrical and inhibitory coupling.

Authors:  Reimbay Reimbayev; Kevin Daley; Igor Belykh
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2017-06-28       Impact factor: 4.226

7.  Hopf bifurcation and bursting synchronization in an excitable systems with chemical delayed coupling.

Authors:  Lixia Duan; Denggui Fan; Qishao Lu
Journal:  Cogn Neurodyn       Date:  2013-01-03       Impact factor: 5.082

8.  Phase-resetting curves determine synchronization, phase locking, and clustering in networks of neural oscillators.

Authors:  Srisairam Achuthan; Carmen C Canavier
Journal:  J Neurosci       Date:  2009-04-22       Impact factor: 6.167

9.  Synchronous bursts on scale-free neuronal networks with attractive and repulsive coupling.

Authors:  Qingyun Wang; Guanrong Chen; Matjaž Perc
Journal:  PLoS One       Date:  2011-01-06       Impact factor: 3.240

10.  Sustained activity in hierarchical modular neural networks: self-organized criticality and oscillations.

Authors:  Sheng-Jun Wang; Claus C Hilgetag; Changsong Zhou
Journal:  Front Comput Neurosci       Date:  2011-06-29       Impact factor: 2.380

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