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全局耦合神经振荡器集合中冲洗滤波器辅助的平均场反馈去同步

Washout filter aided mean field feedback desynchronization in an ensemble of globally coupled neural oscillators.

作者信息

Luo Ming, Wu Yongjun, Peng Jianhua

机构信息

School of Aerospace Engineering and Applied Mechanics, Tongji University, 200092, Shanghai, China.

出版信息

Biol Cybern. 2009 Sep;101(3):241-6. doi: 10.1007/s00422-009-0334-5. Epub 2009 Sep 29.

DOI:10.1007/s00422-009-0334-5
PMID:19787370
Abstract

We propose an approach for desynchronization in an ensemble of globally coupled neural oscillators. The impact of washout filter aided mean field feedback on population synchronization process is investigated. By blocking the Hopf bifurcation of the mean field, the controller desynchronizes the ensemble. The technique is generally demand-controlled. It is robust and can be easily implemented practically. We suggest it for effective deep brain stimulation in neurological diseases characterized by pathological synchronization.

摘要

我们提出了一种用于全局耦合神经振荡器集合中去同步的方法。研究了洗出滤波器辅助平均场反馈对群体同步过程的影响。通过阻断平均场的霍普夫分岔,控制器使集合去同步。该技术通常是需求控制的。它具有鲁棒性且在实际中易于实现。我们建议将其用于以病理性同步为特征的神经系统疾病的有效深部脑刺激。

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