External noise suppression by intrinsic noise in a neuron

被引：1

作者：

Shen Tao ^{[1
]}

Long Zhangcai ^{[1
]}

Chen Bo ^{[2
]}

机构：

[1] Huazhong Univ Sci & Technol, Sch Phys, Wuhan 430074, Hubei, Peoples R China

[2] Huazhong Univ Sci & Technol, Sch Math, Wuhan 430074, Hubei, Peoples R China

来源：

RESULTS IN PHYSICS | 2019年 / 15卷

基金：

中国国家自然科学基金;

关键词：

Noise; Neuron; Signal transmission; STOCHASTIC RESONANCE; MODE-LOCKING; VARIABILITY; INFORMATION;

D O I：

10.1016/j.rinp.2019.102615

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Noises are usually being considered as a detrimental factor in signal processing. The usual method to deal with noise and enhance output signal is reducing noises from different sources. In this research, we demonstrated in a neuronal model that noise in output of a neuron driven by signal with external noise can be suppressed by internal noise of the neuron. This work revealed a new positive role of noise in noisy signal processing.

引用

页数：9

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