Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2006-05-04
Physics
Condensed Matter
Disordered Systems and Neural Networks
4 pages, 4 figures
Scientific paper
10.1103/PhysRevE.74.056112
Through the last years, different strategies to enhance synchronization in complex networks have been proposed. In this Letter, we show that the synchronization in a small-world network of attractively coupled non-identical neurons is strongly improved by adding a tiny fraction of phase-repulsive couplings. By a purely topological analysis that does not depend on the dynamical model, we link the emerging dynamical behavior to the structural properties of the sparsely coupled repulsive network.
Almendral Juan A.
Leyva I.
Sanjuán Miguel A. F.
Sendiña-Nadal Irene
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