Phase models and clustering in networks of oscillators with delayed coupling

被引:12
作者
Campbell, Sue Ann [1 ,2 ]
Wang, Zhen [1 ]
机构
[1] Univ Waterloo, Dept Appl Math, Waterloo, ON N2L 3G1, Canada
[2] Univ Waterloo, Ctr Theoret Neurosci, Waterloo, ON N2L 3G1, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Time delay; Neural network; Oscillators; Clustering solutions; Stability; SEMICONDUCTOR-LASER ARRAYS; TIME-DELAY; EXCITABLE SYSTEMS; DISTRIBUTED DELAYS; RECURRENT LOOPS; CELL ASSEMBLIES; NEURAL-NETWORKS; DYNAMICS; MULTISTABILITY; SYNCHRONIZATION;
D O I
10.1016/j.physd.2017.09.004
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We consider a general model for a network of oscillators with time delayed coupling where the coupling matrix is circulant. We use the theory of weakly coupled oscillators to reduce the system of delay differential equations to a phase model where the time delay enters as a phase shift. We use the phase model to determine model independent existence and stability results for symmetric cluster solutions. Our results extend previous work to systems with time delay and a more general coupling matrix. We show that the presence of the time delay can lead to the coexistence of multiple stable clustering solutions. We apply our analytical results to a network of Morris Lecar neurons and compare these results with numerical continuation and simulation studies. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:44 / 55
页数:12
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