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自突触下光敏神经元网络的动力学行为 被引量:1

Dynamic Behavior of Photosensitive Neuron Networks under Self-synapse
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摘要 以HR神经元模型为例,模拟了环链网络及平面网络中光敏神经元的电活动行为.研究发现恰当的电压源振幅可以促进神经元放电,使整个网络处于有序态,更大的自突触耦合强度更有利于激发神经元放电.在全光照下,适当调整电压源振幅A、频率ω,可以观察到神经元网络丰富的放电行为.但在固定电压源振幅A下,使用较小的频率ω,神经元很难诱发放电,整个网络处于静息态.在非均匀光照下,网络中更容易产生靶波. Taking HR neuron model as an example,this paper simulates the electrical activity of photosensitive neurons in the loop network and the plane network.It is found that the proper amplitude of voltage source can promote the neuronal discharge,making the whole network in an orderly state,and a greater intensity of self-synaptic coupling is more conducive to stimulating the neuronal discharge.Adjusting the amplitude A and frequency of voltage source properly under full illuminationω,and the rich discharge behavior of the neural network can be observed.However,under the fixed voltage source amplitude A,it is difficult for neurons to induce discharge by a smaller frequencyω,and the whole network is in a resting state.Under non-uniform illumination,target waves are more likely to occur in the network.
作者 秦会欣 QIN Hui-xin(School of Physics and Electronic Engineering,Heze University,Heze Shandong 274015,China)
出处 《菏泽学院学报》 2023年第2期17-26,共10页 Journal of Heze University
关键词 振幅 频率 神经元网络 光敏神经元 amplitude frequency neural network photosensitive neuron
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