Firing statistics of a neuron model driven by long-range correlated noise

被引：81

作者：

Middleton, JW ^{[1
]}

Chacron, MJ ^{[1
]}

Lindner, B ^{[1
]}

Longtin, A ^{[1
]}

机构：

[1] Univ Ottawa, Dept Phys, Ottawa, ON K1N 6N5, Canada

来源：

PHYSICAL REVIEW E | 2003年 / 68卷 / 02期

关键词：

D O I：

10.1103/PhysRevE.68.021920

中图分类号：

O35 [流体力学]; O53 [等离子体物理学];

学科分类号：

070204 ; 080103 ; 080704 ;

摘要：

We study the statistics of the firing patterns of a perfect integrate and fire neuron model driven by additive long-range correlated Ornstein-Uhlenbeck noise. Using a quasistatic weak noise approximation we obtain expressions for the interspike interval (ISI) probability density, the power spectral density, and the spike count Fano factor. We find unimodal, long-tailed ISI densities, Lorenzian power spectra at low frequencies, and a minimum in the Fano factor as a function of counting time. The implications of these results for signal detection are discussed.

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页数：8

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