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Exact results for power spectrum and susceptibility of a leaky integrate-and-fire neuron with two-state noise

机译:功率谱的精确结果和漏水的易感性,具有两种噪声的漏水整合和灭火神经元

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The response properties of excitable systems driven by colored noise are of great interest, but are usually mathematically only accessible via approximations. For this reason, dichotomous noise, a rare example of a colored noise leading often to analytically tractable problems, has been extensively used in the study of stochastic systems. Here, we calculate exact expressions for the power spectrum and the susceptibility of a leaky integrate-and-fire neuron driven by asymmetric dichotomous noise. While our results are in excellent agreement with simulations, they also highlight a limitation of using dichotomous noise as a simple model for more complex fluctuations: Both power spectrum and susceptibility exhibit an undamped periodic structure, the origin of which we discuss in detail.
机译:由彩色噪声驱动的兴奋系统的响应属性具有很大的兴趣,但通常仅通过近似访问。 因此,在随机系统的研究中广泛地使用了二种性噪声,常见于显微造影问题的彩色噪声的罕见典范。 这里,我们计算功率谱的精确表达和泄漏的整合和火神经元由不对称二分噪声驱动的敏感性。 虽然我们的结果与模拟非常一致,但它们还突出了使用二分噪声作为更复杂波动的简单模型的限制:功率谱和易感性呈现出透明的周期性结构,我们详细讨论的起源。

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