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

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.