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Journal Article

Mutual synchronization in ensembles of globally coupled neural networks

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Zanette,  Damián H.
Physical Chemistry, Fritz Haber Institute, Max Planck Society;

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Mikhailov,  Alexander S.
Physical Chemistry, Fritz Haber Institute, Max Planck Society;

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PhysRevE.58.872.pdf
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Citation

Zanette, D. H., & Mikhailov, A. S. (1998). Mutual synchronization in ensembles of globally coupled neural networks. Physical Review E, 58(1), 872-875. doi:10.1103/PhysRevE.58.872.


Cite as: https://hdl.handle.net/21.11116/0000-0007-0D22-5
Abstract
The collective dynamics in globally coupled ensembles of identical neural networks with random asymmetric synaptic connections is investigated. We find that this system shows a spontaneous synchronization transition, i.e., networks with synchronous activity patterns appear in the ensemble when the coupling intensity exceeds a threshold. Under further increase of the coupling intensity, the entire ensemble breaks down into a number of coherent clusters, until complete mutual synchronization is eventually established.