Study On Neurodynamics Driven By Envelope Modulated Signal And Electromagnetic Radiation

The study of biological neurons receiving multiple noisy oscillation signals is the basis for recognizing the dynamic response of signal superposition to the information processing of the brain.The research on the information transmission of cortical neurons in a noisy environment is a hot topic in the international frontier in the field of neuroscience.In this paper,we study the neural dynamics driven by the envelope modulation signal and electromagnetic radiation.Using the nonlinear dynamics method,under the condition of Gaussian white noise,the FHN neuron model is calculated and simulated,and the following research results are obtained.1.This article discusses the FHN model with envelope modulated signal.Through the use of time series diagram,power spectrum,minimum variable coefficient,phase diagram and other research methods,it is found that under moderate noise intensity,the pulse sequence of FHN neuron discharge is more regular,while It is also found that the pulse of the neuron is very synchronized with the envelope modulation signal.At the same time,it was also found that the discharge state of the neuron and the envelope signal will also produce synchronization.2.Based on the FHN neuron model with beat frequency,electromagnetic signals are added for simulation and discussion,and it is found that random vibration still exists.This is mainly to consider the influence of electromagnetic induction on neurons.At the same time,under the selection of appropriate parameters,the pulse sequence and envelope signal synchronization phenomenon is more obvious.3.Select 100 neurons and study the synchronization of network discharge by introducing envelope signals into the neural network.In this paper,on the basis of controlling other parameters,the connection probability,constant current intensity and noise intensity are the research objects to analyze the synchronous discharge and signal response of the network.Use time evolution chart,time series chart,average discharge rate and Fourier coefficient to study the influence of various parameters on network synchronization.