随机突触输入驱动下神经膜电位的阈下动力学
Subthreshold dynamics of the neural membrane potential driven by stochastic synaptic input
摘要：
在大脑皮层中，神经元受到来自网络背景活动的突触输入的连续轰击。这导致了持续的，主要是阈下的膜动力学，这取决于背景活动和神经元上突触的统计数据。阈下膜极化反过来又是神经反应的有效调节剂。本文分析了稳态统计量突触输入驱动的神经膜电位的阈下动力学。突触输入被认为是线性相互作用。该分析确定制度的输入统计，从而引起平稳，波动，振荡和不稳定的动态。特别是，我表明，（一）单纯的噪声输入可以驱动膜电位持续，准周期振荡（噪声驱动的振荡），在没有刺激源性，神经内，或网络起搏器;（二）添加超极化去极化突触输入可以增加神经活动（超极化引起的活动），在超极化激活电流的情况下。
英文摘要：
In the cerebral cortex, neurons are subject to a continuous bombardment of synaptic inputs originating from the network's background activity. This leads to ongoing, mostly subthreshold membrane dynamics that depends on the statistics of the background activity and of the synapses made on a neuron. Subthreshold membrane polarization is, in turn, a potent modulator of neural responses. The present paper analyzes the subthreshold dynamics of the neural membrane potential driven by synaptic inputs of stationary statistics. Synaptic inputs are considered in linear interaction. The analysis identifies regimes of input statistics which give rise to stationary, fluctuating, oscillatory, and unstable dynamics. In particular, I show that (i) mere noise inputs can drive the membrane potential into sustained, quasiperiodic oscillations (noise-driven oscillations), in the absence of a stimulus-derived, intraneural, or network pacemaker; (ii) adding hyperpolarizing to depolarizing synaptic input can increase neural activity (hyperpolarization-induced activity), in the absence of hyperpolarization-activated currents.
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