Synchronization in a neural network of phase oscillators with the central element
Synchronization in a neural network of phase oscillators with the central element
复制标题
相位振荡器神经网络与中心元件的同步
作者：
Y. Kazanovich;R. Borisyuk
被认为是一个神经网络模型，它被设计为一个系统的相位振荡器，并包含中央振荡器和周边振荡器，通过中央振荡器相互作用。研究了当中心振子和一组外围振子的电流频率彼此接近而其他外围振子的电流频率与中心振子的电流频率远离同步时的部分同步机制。本文导出了部分同步区中心振子平均频率的近似公式，并给出了计算实验结果，说明了近似的准确性。
A neural network model is considered which is designed as a system of phase oscillators and contains the central oscillator and peripheral oscillators which interact via the central oscillator. The regime of partial synchronization was studied when current frequencies of the central oscillator and one group of peripheral oscillators are near to each other while current frequencies of other peripheral oscillators are far from being synchronized with the central oscillator. Approximation formulas for the average frequency of the central oscillator in the regime of partial synchronization are derived, and results of computation experiments are presented which characterize the accuracy of the approximation.