基于不同神经突触的神经元网络抗扰特性对比研究

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中图分类号：Q811.2 文献标志码：A 文章编号：2095-2945（2025）25-0013-05

Abstract： The electrical synapse modelandthe chemical synapse model wereselectedto construct neuronnetworksbased ontheHodgkin-Huxleyneuronmodelrespectively，andtheimpactoftwodiferentnervesynapsemodels，electricalsynapseand chemicalsynapse，ontheanti-inteferencecharacteristicsof neuronnetworkswasstudied.Byselecting theelectrical synapse model，achemical synapsemodelandtheHodgkin-Huxleyneuronmodel，usingasquarewavesignalwithanamplitudeof20 andaperiodof3OasthestimulationsignalandGausianwhite noisewitha meanvalueofOandavarianceof2Oasthe interferencesignal，thenumericalcalculationsimulationsoftwareMATLAB/Simulinkwasusedtobuildaneuralnetworkmodel， andthediferencesinanti-interferencecharacteristicsofneuralnetworksbuiltunderdiferentnervesynapseconditionswere analyzed.Theresearchresultsshowthattheneuronnetworkcoupledwithchemicalsynapsemodelshasbeteranti-interference characteristics than the electrical synapse coupled network.

Keywords：Hodgkin-Huxleyneuronmodel;anti-interferencecharacteristicsofneuronnetworks;nervesynapsemodel; electrical synapse model; chemical synapse model

近年来，随着人工智能技术的深入发展，对神经元网络的研究越来越成为多领域学者的研究重点。（剩余4756字）