Effect of noises on two-layer Hodgkin-Huxley neuronal network

被引：0
|
作者：
Liu, J [1 ]
Lou, ZG [1 ]
Li, G [1 ]
机构：
[1] Zhejiang Univ, Dept Biomed Engn, Key Lab Biomed Engn, Minist Educ China, Hangzhou 310027, Peoples R China
来源：
ADVANCES IN NATURAL COMPUTATION, PT 1, PROCEEDINGS | 2005年 / 3610卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Stochastic resonance (SR) effect has been discovered in nondynamical threshold systems such as sensory systems. This paper presents a network simulating basic structure of a sensory system to study SR. The neutronal network consists of two layers of the Hodgkin-Huxley (HH) neurons. Compared with single HH model, subthreshold stimulating signals do not modulate output signal-noise ratio, thus a fixed level of noise from circumstance can induce SR for the various stimulating signals. Numeric experimental results also show that noises do not always deteriorate the capability of the detection of suprathreshold input signals.
引用
收藏
页码：411 / 419
页数：9
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