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首页> 外文期刊>Journal of Mathematical Biology >Analysis of clustered firing patterns in synaptically coupled networks of oscillators
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Analysis of clustered firing patterns in synaptically coupled networks of oscillators

机译:振荡器突触耦合网络中的成簇点火模式分析

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Oscillators in networks may display a variety of activity patterns. This paper presents a geometric singular perturbation analysis of clustering, or alternate firing of synchronized subgroups, among synaptically coupled oscillators. We consider oscillators in two types of networks: mutually coupled, with all-to-all inhibitory connections, and globally inhibitory, with one excitatory and one inhibitory population of oscillators, each of arbitrary size. Our analysis yields existence and stability conditions for clustered states, along with formulas for the periods of such firing patterns. By using two different approaches, we derive complementary conditions, the first set stated in terms of time lengths determined by intrinsic and synaptic properties of the oscillators and their coupling and the second set stated in terms of model parameters and phase space structures directly linked to parameters. These results suggest how biological components may interact to produce the spindle sleep rhythm in thalamocortical networks. [References: 22]
机译:网络中的振荡器可能会显示各种活动模式。本文提出了一个几何奇异摄动分析的群集,或同步触发子之间的同步子组的交替触发。我们将振荡器分为两种类型的网络:相互耦合的,具有全部抑制连接的振荡器,以及全局抑制的,具有一个兴奋性振荡器和一个抑制性振荡器的振荡器,每种振荡器的大小都是任意的。我们的分析得出了簇状状态的存在条件和稳定性条件,以及此类激发模式周期的公式。通过使用两种不同的方法,我们得出互补条件,第一组以时间长度表示,由振荡器的固有和突触特性及其耦合确定;第二组以模型参数和与参数直接链接的相空间结构表示。这些结果表明,生物成分如何相互作用以在丘脑皮层网络中产生纺锤体睡眠节律。 [参考:22]

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