Effects of High-Frequency Stimulation Transmission of Neural Code in Feedforward Network

被引：0

作者：

Qin Ying-Mei ^{[1
]}

Wang Jiang ^{[1
]}

Men Cong ^{[1
]}

Deng Bin ^{[1
]}

Wei Xi-Le ^{[1
]}

机构：

[1] Tianjin Univ, Sch Elect Engn & Automat, Tianjin 300072, Peoples R China

来源：

2011 30TH CHINESE CONTROL CONFERENCE (CCC) | 2011年

关键词：

FitzHugh-Nagumo neuron; Feedforward network; High-frequency stimuli; Vibrational resonance; Firing rate propagation; VIBRATIONAL RESONANCE; PROPAGATION; NOISE; SYNCHRONY; SPIKING;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper investigated propagation of firing rate in multi-layer feedforward network(FFN) based on FitzHugh-Nagumo(FHN) neuron model. It is found that the signal propagate in the multi-layer FFN almost linearity by synchronized firing. Noise and high-frequency stimuli can improve the linearity, especially for the low input rate. High frequency signal plays an important role in signal propagation through layers. For FFN, high-frequency signal can induce vibrational resonance, and displays complexity in the propagation. Network connectivity probability also has great effects on the propagation of weak signal. Therefore, both high-frequency signal and network connections can serve as control parameters in modulating neural activities. Physiologically, the research is instructive to study how the external electric field, such as deep brain stimulation(DBS), controls the neural code propagation.

引用

页码：5664 / 5668

页数：5

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