Synchronization rates in classes of relaxation oscillators

被引:11
作者
Campbell, SR [1 ]
Wang, DL
Jayaprakash, C
机构
[1] NIH, Ctr Clin, Dept Diagnost Radiol, Bethesda, MD 20892 USA
[2] Ohio State Univ, Dept Comp & Informat Sci, Columbus, OH 43210 USA
[3] Ohio State Univ, Ctr Cognit Sci, Columbus, OH 43210 USA
[4] Ohio State Univ, Dept Phys, Columbus, OH 43210 USA
来源
IEEE TRANSACTIONS ON NEURAL NETWORKS | 2004年 / 15卷 / 05期
基金
美国国家科学基金会;
关键词
coupled oscillators; neural dynamics; relaxation oscillators; synchronization rate; synchrony;
D O I
10.1109/TNN.2004.833134
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Relaxation oscillators arise frequently in physics, electronics, mathematics, and biology. Their mathematical definitions possess a high degree of flexibility in the sense that through appropriate parameter choices relaxation oscillators can be made to exhibit qualitatively different kinds of oscillations. We study numerically four different classes of relaxation oscillators through their synchronization rates in one-dimensional chains with a Heaviside step function interaction and obtain the following results. Relaxation oscillators in the sinusoidal and relaxation regime both exhibit an average time to synchrony, <T-S> similar to n, where n is the chain length. Relaxation oscillators in the singular limit exhibit <T-S> similar to n(p), where p is a numerically obtained value less than 0.5. Relaxation oscillators in the singular limit with parameters modified so that they resemble spike oscillations exhibit <T-S> similar to log(n) in chains and <T-S> similar to log(L) in two-dimensional square networks of length L. Finally, using a sigmoid interaction results in <T-S> similar to n(2), for relaxation oscillators in the sinusoidal and relaxation regimes, indicating that the form of the coupling is a controlling factor in the synchronization rate.
引用
收藏
页码:1027 / 1038
页数:12
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