Qualitative analysis and application of locally coupled neural oscillator network
Qualitative analysis and application of locally coupled neural oscillator network
复制标题
局部耦合神经振荡器网络的定性分析及应用
DOI：
10.1007/s00521-012-0829-1
复制
发表时间：
2012-10-01
影响因子：
6
通讯作者：
Miao，Jun
中科院分区：
文献类型：
--
作者：
Qiao，Yuanhua;Meng，Yong;Miao，Jun
本文定性地研究了局部耦合神经振子自治系统。利用逼近方法，我们给出了一组存在渐近稳定极限环的参数值，并在相同的外部输入下建立了耦合参数保证渐近全局同步的充分条件。引入分级分类器来检测同步，并将基于分析结果的网络模型应用于图像分割。该方法的性能与其他分割方法的结果相当。
This paper investigates a locally coupled neural oscillator autonomous system qualitatively. By applying an approximation method, we give a set of parameter values with which an asymptotically stable limit cycle exists, and the sufficient conditions on the coupling parameters that guarantee asymptotically global synchronization are established under the same external input. A gradational classifier is introduced to detect synchronization, and the network model based on the analytical results is applied to image segmentation. The performance is comparable to the results from other segmentation methods.