Control of synchronization patterns in neural-like Boolean networks.

Journal Article

We study experimentally the synchronization patterns in time-delayed directed Boolean networks of excitable systems. We observe a transition in the network dynamics when the refractory time of the individual systems is adjusted. When the refractory time is on the same order of magnitude as the mean link time delays or the heterogeneities of the link time delays, cluster synchronization patterns change, or are suppressed entirely, respectively. We also show that these transitions occur when we change the properties of only a small number of driver nodes identified by their larger in degree; hence, the synchronization patterns can be controlled locally by these nodes. Our findings have implications for synchronization in biological neural networks.

Full Text

Duke Authors

Cited Authors

  • Rosin, DP; Rontani, D; Gauthier, DJ; Schöll, E

Published Date

  • March 8, 2013

Published In

Volume / Issue

  • 110 / 10

Start / End Page

  • 104102 -

PubMed ID

  • 23521258

Electronic International Standard Serial Number (EISSN)

  • 1079-7114

Digital Object Identifier (DOI)

  • 10.1103/PhysRevLett.110.104102

Language

  • eng

Conference Location

  • United States