BvP neurons exhibit a larger variety in statistics of inter-spike intervals than LIF neurons
BvP neurons exhibit a larger variety in statistics of inter-spike intervals than LIF neurons
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DOI：
10.1143/jpsj.75.124007
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发表时间：
2006-12-01
影响因子：
1.7
通讯作者：
Yoshizawa, Shuji
中科院分区：
文献类型：
--
作者：
Hosaka, Ryosuke;Sakai, Yutaka;Yoshizawa, Shuji
最近发现，泄漏积分和发射（LIF）模型与时间上不相关的输入的假设不能解释在体内皮层神经元的尖峰特性。具体而言，一些皮层神经元的脉冲间间隔（ISI）分布已知表现出相对较大的偏度变化，而LIF模型不能实现这样的统计与模型参数的任何组合。在本文中，我们表明，Bonhoven-van del Pol（BvP）模型，将相同的假设不相关的输入，相比之下，表现出大的偏度值。在这种情况下，偏度系数的大值是由广泛分布的ISI和短而恒定的ISI的混合物引起的，所述ISI由II类神经元（诸如BvP神经元）特有的亚阈值振荡引起。
It was recently found that the leaky integrate-and-fire (LIF) model with the assumption of temporally uncorrelated inputs cannot account for the spiking characteristics of in vivo cortical neurons. Specifically, the inter-spike interval (ISI) distributions of some cortical neurons are known to exhibit relatively large skewness to variation, whereas the LIF model cannot realize such statistics with any combination of model parameters. In the present paper, we show that the Bonhoeffer-van del Pol (BvP) model incorporating the same assumption of uncorrelated inputs can, by contrast, exhibit large skewness values. In this case, the large values of the skewness coefficient are caused by the mixture of widely distributed ISIs and short-and-constant ISIs induced by a sub-threshold oscillation peculiar to Class II neurons, such as the BvP neuron.