论文标题
噪声在神经元间间隔范围内引起连续和不连续的过渡
Noise induces continuous and noncontinuous transitions in neuronal interspike intervals range
论文作者
论文摘要
由于各种来源，例如离子通道波动和突触事件，噪声出现在大脑中。它们会影响大脑的活性并影响神经元的作用潜力。随机微分方程已用于模拟受噪声的神经元的触发模式。在这项工作中，我们考虑在自适应指数积分和开火（AEIF）神经元中扰动噪声。 AEIF是一个二维模型，它通过改变其参数来描述不同的神经元发射模式。在与膜电位有关的方程式中添加噪声。我们表明，噪声电流可以在神经元素间间隔内诱导连续和不连续的过渡。此外，我们表明，非连续转变主要发生在靠近滋补神经元的刺激性和爆发活动之间的参数。
Noise appears in the brain due to various sources, such as ionic channel fluctuations and synaptic events. They affect the activities of the brain and influence neuron action potentials. Stochastic differential equations have been used to model firing patterns of neurons subject to noise. In this work, we consider perturbing noise in the adaptive exponential integrate-and-fire (AEIF) neuron. The AEIF is a two-dimensional model that describes different neuronal firing patterns by varying its parameters. Noise is added in the equation related to the membrane potential. We show that a noise current can induce continuous and noncontinuous transitions in neuronal interspike intervals. Moreover, we show that the noncontinuous transition occurs mainly for parameters close to the border between tonic spiking and burst activities of the neuron without noise.
