Dynamical structure underlying inverse stochastic resonance and its implications.
Dynamical structure underlying inverse stochastic resonance and its implications.
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DOI：
10.1103/physreve.88.042712
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发表时间：
2013-10
期刊：
影响因子：
--
通讯作者：
M. Uzuntarla;J. Cressman;M. Ozer;Ernest Barreto
中科院分区：
文献类型：
--
作者：
M. Uzuntarla;J. Cressman;M. Ozer;Ernest Barreto
我们调查逆随机共振（ISR），最近报道的现象，其中的Hodgkin-Huxley模型神经元的尖峰活动受到外部噪声表现出明显的最小值作为噪声强度的增加。我们澄清的机制，ISR的基础，并表明其最令人惊讶的功能是一个后果的动态结构的模型。此外，我们发现ISR效应强烈依赖于用于测量它的程序。我们的结果是重要的实验谁试图观察ISR现象。
We investigate inverse stochastic resonance (ISR), a recently reported phenomenon in which the spiking activity of a Hodgkin-Huxley model neuron subject to external noise exhibits a pronounced minimum as the noise intensity increases. We clarify the mechanism that underlies ISR and show that its most surprising features are a consequence of the dynamical structure of the model. Furthermore, we show that the ISR effect depends strongly on the procedures used to measure it. Our results are important for the experimentalist who seeks to observe the ISR phenomenon.