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.
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页数：9
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