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 network 、 In degree 、 Control (linguistics) 、 Topology 、 Small number 、 Network dynamics 、 Link time 、 Computer 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.