Literature DB >> 14995853

Topological speed limits to network synchronization.

Marc Timme1, Fred Wolf, Theo Geisel.   

Abstract

We study collective synchronization of pulse-coupled oscillators interacting on asymmetric random networks. We demonstrate that random matrix theory can be used to accurately predict the speed of synchronization in such networks in dependence on the dynamical and network parameters. Furthermore, we show that the speed of synchronization is limited by the network connectivity and remains finite, even if the coupling strength becomes infinite. In addition, our results indicate that synchrony is robust under structural perturbations of the network dynamics.

Mesh:

Year:  2004        PMID: 14995853     DOI: 10.1103/PhysRevLett.92.074101

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


  4 in total

1.  Two types of asynchronous activity in networks of excitatory and inhibitory spiking neurons.

Authors:  Srdjan Ostojic
Journal:  Nat Neurosci       Date:  2014-02-23       Impact factor: 24.884

2.  Slowing down presentation of facial movements and vocal sounds enhances facial expression recognition and induces facial-vocal imitation in children with autism.

Authors:  Carole Tardif; France Lainé; Mélissa Rodriguez; Bruno Gepner
Journal:  J Autism Dev Disord       Date:  2006-10-07

3.  Learning Universal Computations with Spikes.

Authors:  Dominik Thalmeier; Marvin Uhlmann; Hilbert J Kappen; Raoul-Martin Memmesheimer
Journal:  PLoS Comput Biol       Date:  2016-06-16       Impact factor: 4.475

4.  The feasibility and stability of large complex biological networks: a random matrix approach.

Authors:  Lewi Stone
Journal:  Sci Rep       Date:  2018-05-29       Impact factor: 4.379

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.