摘要
目的提出一种噪声环境下具有生物属性的神经元网络抗扰特性模拟仿真方法。方法利用具有生物属性的Hodgkin-Huxley神经元模型和Leonid化学突触,在MATLAB&Simulink仿真平台建模不同参数的小规模神经元网络,研究其同步放电特性并以此为基础研究神经元网络在噪声环境下的抗扰特性。结果化学突触的耦合强度以及神经元网络的拓扑结构对神经元网络同步放电影响较大:一定拓扑结构下,耦合强度越强则同步性越好,简单环网在耦合强度为7 mS/cm2时同步指数达到0.998;基于环网建立的从简单到复杂的7种拓扑结构中,固定耦合强度下,最复杂的拓扑7网络同步性最好,同步指数达到0.809;一定强度噪声环境中,神经元网络的同步放电可以消除噪声恢复神经元的正常放电,有效抑制噪声干扰。结论建立的具有生物属性的神经元和化学突触小规模神经元网络,能够仿真其生物系统的同步特性和抗扰机制。
Objective To propose a simulation method for researching the disturbance resistance characteristics of biological neural networks in noisy environment.Methods Based on Leonid-chemical synapses and Hodgkin-Huxley biological feature neuron model,the simulation models of small-scale neuronal network with different parameters were constructed with MATLAB&Simulink software and the synchronous discharge process and the anti-disturbance characteristics of the neural networks were studied.Results The coupling strength of the chemical synapses and the topology of the neuron network had a great impact on the synchronization of the neuron network.Under a certain topological structure,the stronger the coupling strength,the better the synchronization.When the coupling strength of the simple loop network was 7 mS/cm2,the synchronization index reached 0.998.The topological structures were modelled from simple to complex based on ring network.The topology 7 network with the highest complexity had the best synchronization and the synchronization index was 0.809.In the noisy environment of a certain intensity,the neural network synchronous discharge could suppress the noise interference effectively to restore the normal discharge of neurons.Conclusion The neural network constructed using the biological feature neuron model and chemical synapse model,can be used to study the synchronization characteristics and disturbance resistance mechanism through simulation.
作者
尚蕾
逯迈
Shang Lei;Lu Mai(Key Lab of Opt-Electronic Technology and Intelligent Control of Ministry of Education,Lanzhou Jiaotong University,Lanzhou Gansu 730070,China)
出处
《航天医学与医学工程》
CAS
CSCD
北大核心
2021年第2期137-145,共9页
Space Medicine & Medical Engineering
基金
国家自然科学基金(51567015、51867014)
甘肃省教育厅项目(2018D-08)。
