Control of Synchronization in Coupled Neural Systems by Time-Delayed Feedback
Control of Synchronization in Coupled Neural Systems by Time-Delayed Feedback
复制标题
通过时滞反馈控制耦合神经系统的同步
DOI：
10.1142/s0218127410026101
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
E. Schöll
中科院分区：
文献类型：
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作者：
P. Hövel;M. Dahlem;E. Schöll
我们讨论了耦合神经元的同步，这是仿照FitzHugh-Nagumo系统。作为一个更大的网络中的最小实体，我们专注于两个扩散耦合的子系统，这可以被解释为两个相互作用的神经种群。每个系统都是在可激发状态下准备的，并受到独立的随机波动的影响。为了修改他们的合作动力学，我们应用一个本地的外部刺激的形式，一个扩展的时间延迟的反馈回路，涉及多个延迟加权的记忆参数和调查，如果本地控制应用到一个子系统可以让一个引导全球合作的动态。根据这个新的控制参数的选择，我们调查不同的措施，以量化同步的影响：比interspike间隔，功率谱，interspike间隔分布和相位同步间隔。我们表明，控制方法是更强大的记忆参数增加。
We discuss the synchronization of coupled neurons which are modeled as FitzHugh–Nagumo systems. As smallest entity in a larger network, we focus on two diffusively coupled subsystems, which can be interpreted as two mutually interacting neural populations. Each system is prepared in the excitable regime and subject to independent random fluctuations. In order to modify their cooperative dynamics, we apply a local external stimulus in the form of an extended time-delayed feedback loop that involves multiple delays weighted by a memory parameter and investigate if the local control applied to a subsystem can allow one to steer the global cooperative dynamics. Depending on the choice of this new control parameter, we investigate different measures to quantify the influence on synchronization: ratio of interspike intervals, power spectrum, interspike interval distribution and phase synchronization intervals. We show that the control method is more robust for increasing memory parameter.
影响因子：
0.800
作者：
通讯作者：
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