INTERNAL-NOISE-ENHANCED SIGNAL TRANSDUCTION IN NEURONAL SYSTEMS
INTERNAL-NOISE-ENHANCED SIGNAL TRANSDUCTION IN NEURONAL SYSTEMS
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DOI：
10.1103/physreve.55.7379
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发表时间：
1997-06
影响因子：
2.4
通讯作者：
Wei Wang;Zhenghan Wang
中科院分区：
文献类型：
--
作者：
Wei Wang;Zhenghan Wang
通过随机共振机制研究了神经元在“内部噪声”背景下检测和增强弱周期性信息流的能力。两种非线性突触输入，即来自多个耦合神经元的相干脉冲和来自单个神经元的不规则脉冲，被认为是神经元的内部噪声。发现输出信噪比是有限的。这种非零信噪比能够解释当外部噪声切换为零时信噪比不为零的相关实验。
The ability of a neuron to detect and enhance a weak periodic flow of information within an ``internal-noise'' background has been studied through the mechanism of stochastic resonance. Two kinds of nonlinear synaptic input, a coherent firing of spikes from a number of coupled neurons and an irregular firing of spikes from a single neuron, are considered as the internal noise for a neuron. The output signal-to-noise ratio (SNR) is found to be finite. This nonzero SNR is able to account for the relevant experiments where the SNR is nonzero when the external noise is switched to zero.