Tukhlina Natalia, Rosenblum Michael
Department of Physics, University of Potsdam, 14469 Potsdam, Germany.
J Biol Phys. 2008 Aug;34(3-4):301-14. doi: 10.1007/s10867-008-9081-4. Epub 2008 Jul 18.
We discuss the suppression of collective synchrony in a system of two interacting oscillatory networks. It is assumed that the first network can be affected by the stimulation, whereas the activity of the second one can be monitored. The study is motivated by ongoing attempts to develop efficient techniques for the manipulation of pathological brain rhythms. The suppression mechanism we consider is related to the classical problem of interaction of active and passive systems. The main idea is to connect a specially designed linear oscillator to the active system to be controlled. We demonstrate that the feedback loop, organized in this way, provides an efficient suppression. We support the discussion of our approach by a theoretical treatment of model equations for the collective modes of both networks, as well as by the numerical simulation of two coupled populations of neurons. The main advantage of our approach is that it provides a vanishing-stimulation control, i.e., the stimulation reduces to the noise level as soon as the goal is achieved.
我们讨论了两个相互作用的振荡网络系统中集体同步的抑制问题。假设第一个网络会受到刺激的影响,而第二个网络的活动可以被监测。这项研究的动机来自于当前为开发操纵病理性脑节律的有效技术所做的尝试。我们所考虑的抑制机制与主动系统和被动系统相互作用的经典问题相关。主要思想是将一个特别设计的线性振荡器连接到要控制的主动系统。我们证明,以这种方式组织的反馈回路能提供有效的抑制。我们通过对两个网络集体模式的模型方程进行理论处理,以及对两个耦合神经元群体进行数值模拟,来支持我们方法的讨论。我们方法的主要优点是它提供了一种零刺激控制,即一旦目标达成,刺激就降至噪声水平。