Type-II phase resetting curve is optimal for stochastic synchrony
Type-II phase resetting curve is optimal for stochastic synchrony
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DOI：
10.1103/physreve.80.011911
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发表时间：
2009-07-01
影响因子：
2.4
通讯作者：
Ermentrout, Bard
中科院分区：
文献类型：
--
作者：
Abouzeid, Aushra;Ermentrout, Bard
相位重置曲线（PRC）描述了神经振荡器对膜电位小扰动的响应。它的有用性预测弱耦合确定性网络的动力学已得到很好的表征。然而，对真实的神经元的输入通常可以更准确地描述为突触噪声的弹幕。因此，小区之间的有效连接可以以噪声输入流之间的相关性的形式出现。我们使用约束优化和扰动的方法来证明，PRC形状决定敏感性，否则解耦噪声驱动的神经振荡器之间的同步。PRC可以分为两大类：I型PRC是非负的，而II型PRC具有大的负区域。在这里，我们表明，振荡器与II型PRC接收常见的噪声输入同步更容易比I型PRC。
The phase-resetting curve (PRC) describes the response of a neural oscillator to small perturbations in membrane potential. Its usefulness for predicting the dynamics of weakly coupled deterministic networks has been well characterized. However, the inputs to real neurons may often be more accurately described as barrages of synaptic noise. Effective connectivity between cells may thus arise in the form of correlations between the noisy input streams. We use constrained optimization and perturbation methods to prove that the PRC shape determines susceptibility to synchrony among otherwise uncoupled noise-driven neural oscillators. PRCs can be placed into two general categories: type-I PRCs are non-negative, while type-II PRCs have a large negative region. Here we show that oscillators with type-II PRCs receiving common noisy input synchronize more readily than those with type-I PRCs.