title: Vibrational resonance in feedforward network.
abstract: This paper investigates vibrational resonance in multi-layer feedforward network (FFN) based on FitzHugh-Nagumo (FHN) neuron model. High-frequency stimuli can improve the input-output linearity of firing rates, especially for the inputs with low firing rate. For FFN network, it is found that high-frequency disturbances play important roles in enhancing the propagation of weak signal through layers. Synfire-enhanced phenomenon of signal propagation is also observed in multi-layers network, when the signal transmission is affected by high-frequency disturbances. Network connections are found to be important for the propagation of weak signal. Besides that, the characteristics of high-frequency stimuli such as heterogeneity and frequency can also modulate the propagation of neural code through layers.
authors: School of Electrical Engineering and Automation, Tianjin University, Tianjin, China.
authors: Ying-mei
authors: YM
authors: Qin
authors: Jiang
authors: J
authors: Wang
authors: Cong
authors: C
authors: Men
authors: Bin
authors: B
authors: Deng
authors: Xi-le
authors: XL
authors: Wei