Control of synchronization patterns in neural-like Boolean networks.

作者: David P. Rosin , Damien Rontani , Daniel J. Gauthier , Eckehard Schöll

DOI: 10.1103/PHYSREVLETT.110.104102

关键词: Synchronization (computer science)Artificial neural networkIn degreeControl (linguistics)TopologySmall numberNetwork dynamicsLink timeComputer science

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

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