BvP Neurons Exhibit a Larger Variety in Statistics of Inter-Spike Intervals than LIF Neurons

DOI 機関リポジトリ Web Site Web Site BIBCODE 被引用文献1件 参考文献53件

この論文をさがす

抄録

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.

収録刊行物

被引用文献 (1)*注記

もっと見る

参考文献 (53)*注記

もっと見る

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ