Effects of High-Frequency Stimulation Transmission of Neural Code in Feedforward Network
This paper investigated propagation of.ring 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.ring. 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.eld, such as deep brain stimulation(DBS), controls the neural code propagation.
QIN Ying-Mei WANG Jiang MEN Cong DENG Bin WEI Xi-Le
School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, P.R.China
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-5
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）