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Comparison between networks of conductance- and current-driven neurons: stationary spike rates and subthreshold depolarization

机译:电导和电流驱动神经元网络之间的比较:稳定的尖峰频率和亚阈值去极化

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The problem of an equivalence between conductance- and current-driven neurons in terms of mean stationary output rates is investigated. We show that it is possible to study a network of conductance-driven neurons by means of a mean field analysis of an equivalent network of current-driven neurons. The current drive is Gauss distributed and not voltage dependent. The equivalent network is composed by the same neurons and exhibits the same stable firing rates at the only price of having different connectivity. In addition, the differences in the subthreshold depolarization and the interspike-interval distribution can be studied at parity of output rates, providing a method to study those effects of the conductance drive which do not arise in a network of current-driven neurons.
机译:研究了电导和电流驱动的神经元之间的等价问题,这些问题取决于平均平稳输出率。我们表明,有可能通过对电流驱动神经元等效网络的均值场分析来研究电导驱动神经元网络。电流驱动是高斯分布的,与电压无关。等效网络由相同的神经元组成,并以具有不同连接性的唯一价格展现出相同的稳定发射速率。此外,可以在输出速率相等的情况下研究亚阈值去极化和峰值间间隔的差异,从而提供一种研究电导驱动的效应的方法,这种效应在电流驱动的神经元网络中不会出现。

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