Analysis Of Epilepsy Signal Transduction Mechanism In Heterogeneous Feedforward Neuron Network

The nervous system in the brain is one of the most complex systems in nature,and the abnormal structure and function of its network is an important cause of neurological diseases such as epilepsy,Alzheimer’s disease and schizophrenia.Epileptic seizures are thought to be related to the abnormal firing activity of neurons.Studies have shown that the hippocampal neuron network of mammals and humans can produce a large number of synchronous firing activities of neurons,and epileptic seizures are also closely related to this region.Feedforward neural network is one of the most common network structures in the nervous system,and its layered structure can well simulate the characteristics of neuron firing transmission layer by layer.In biological neural network,heterogeneous feedforward neural network is considered as a possible factor causing the qualitative change of epileptiform oscillation activities.Therefore,it is of great significance to establish the heterogeneous feedforward neural network to reveal the conduction of epilepsy signal in human brain.At first,this paper analysis the function of the network and the network structure and the characteristics of neurons and neural model,depending on the network topology(distribution),three kinds of homogeneous and heterogeneous feedforward neuron networks based on FitzhughNagumo(FHN)neuron models were constructed,three kinds of network structures obey the identical distribution,uniform distribution and exponential distribution respectively.At the same time,the information encoding and decoding of the neural network and the quantitative index of signal transmission are studied.Secondly,the transmission of neuronal signals in heterogeneous feedforward neural networks with and without noise is studied in this paper.It is found that the increasing trend of firing rate and firing pattern is more obvious with moderate intensity noise.At the same time,heterogeneity plays an important role in promoting the resonance of network vibration,which can enhance the signal transmission when the noise intensity is low.Under the condition of no noise,the input firing rate and output firing rate of three different network topologies are nonlinear.When noise is added,the change of firing rate and firing pattern increases steadily with the increase of noise.The transmission mechanism of epileptic signal in heterogeneous feed-forward neural network is revealed.Finally,the effect of high frequency stimulation on signal transmission in feedforward neural networks and the vibration resonance in heterogeneous feedforward neural networks are studied.The results show that the heterogeneity of neuron parameters can promote the firing rate of feedforward neuron network under the action of high frequency stimulation.On the other hand,different degree of heterogeneous parameters has different degree of influence on promoting signal conduction(that is,the firing rate).In addition,the vibration resonance of neural networks is also affected by the interaction between neuron heterogeneity and the amplitude and frequency of highfrequency stimulus.The three networks with different degree distributions are affected to different degrees by different heterogeneity coefficients,and the maximum values are distributed in different intervals of high-frequency stimulus cycle amplitude.The research results of this paper are helpful to understand the influence of network structure,external stimulation and neuronal heterogeneity on neuronal signal transmission,and provide theoretical guidance for clinical treatment of epilepsy.