Research on the Transmission Characteristics of FitzHugh-Nagumo Neuron

Guan Ping Wang; Wan Xia Yang; Sen Yang

doi:10.4028/www.scientific.net/AMM.596.413

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Research on Lossless Predictive Coding Methods for Stereo Images
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Research on the Transmission Characteristics of FitzHugh-Nagumo Neuron
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A Recognition Method of License Plate Number Based on BP Neural Network
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 596Research on the Transmission Characteristics of...

Research on the Transmission Characteristics of FitzHugh-Nagumo Neuron

Abstract:

The transmission characteristics of a FitzHugh-Nagumo (FHN) model neuron influenced by Gaussian white noise is studied in this work. With a sinusoidal stimulus as input, based on the time-domain analysis to the output , it is found that there are SR phenomenon, and the signal transmission is mainly depends on the noise intensity, the frequency and the amplitude of the external excitation signals. The analysis show that when the input frequency lies in 0.2Hz~0.5Hz and the amplitude A is around 0.4, suitable noise intensity is conducive to the optimal neuronal signal transmission.