Novel class of neural stochastic resonance and error-free information transfer
Novel class of neural stochastic resonance and error-free information transfer
复制标题
DOI：
10.1103/physrevlett.100.118103
复制
发表时间：
2008-03-21
影响因子：
8.6
通讯作者：
Yamamoto, Yoshiharu
中科院分区：
文献类型：
--
作者：
Yasuda, Hideaki;Miyaoka, Tsuyoshi;Yamamoto, Yoshiharu
我们研究了一类新的神经随机共振（SR）表现出无差错的信息传输。与传统的神经SR不同，在传统的神经SR中，系统的响应随太多噪声的降低与基线发射率的增加相关联，在这里，尽管基线发射率没有显著增加，但输入-输出互相关的钟形SR行为相对于增加的输入噪声出现。因此，神经元充当弱信号的无误差检测器。整合和消防模型与短期突触抑制令人信服地验证了我们的实验结果SR在人类的触觉眨眼反射。
We investigate a novel class of neural stochastic resonance (SR) exhibiting error-free information transfer. Unlike conventional neural SR, where the decrease of a system's response with too much noise is associated with an increase in the baseline firing rate, here the bell-shaped SR behavior of the input-output cross correlation emerges versus increasing input noise in spite of no significant increase of the baseline firing rate. The neuron thus acts as an error-free detector for weak signals. An integrate-and-fire model with short-term synaptic depression convincingly validates our experimental findings for SR in the human tactile blink reflex.