Signal processing by means of noise

被引：11
|
作者：
Plesser, HE
Geisel, T
机构：
[1] NOrges Landbrukshogskole, Inst Tekniske Fag, N-1423 As Nlh, Norway
[2] Univ Gottingen, Max Planck Inst Stromungsforsch, D-37073 Gottingen, Germany
[3] Univ Gottingen, Fak Phys, D-37073 Gottingen, Germany
来源：
NEUROCOMPUTING | 2001年 / 38卷
关键词：
signal processing; stochastic resonance; synfire chain; integrate-and-fire neuron; neuronal network;
D O I：
10.1016/S0925-2312(01)00459-3
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Noisy integrate-and-fire neurons encode periodic signals best at a preferred noise-frequency combination. We show that the preferred frequency, optimum noise and optimum signal-to-noise ratio are linearly related to the signal AC amplitude with the signal DC amplitude serving as tuning parameter. We argue that this may facilitate selective signal processing in neuronal networks. (C) 2001 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：307 / 312
页数：6
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