神经网络内电振荡活动特性的研究

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1、河北工业大学博士学位论文神经网络内电振荡活动特性的研究姓名：张素花申请学位级别：博士专业：电工理论与新技术指导教师：展永20061101神经网络内电振荡活动特性的研究AStudyforthePropertiesofElectricalOscillationActivitiesofNeuronalNetworkABSTRACTElectricalsynchronousoscillationactivitiesareubiquitousphenomenoninneuralsystems.Thestudyaboutsynchronizationistheb

2、asisofunderstandingtheformofthehugecomputationalabilityofthebrain.Itishelpfultoexplainthemechanismofneuraldiseasesandtoassisttodiagnosebraindiseasesbyelectroencephalogram,anditisWhataretheoriginandthemechanismofsynchronizationandwhatisitseffect,whichhaveexcitedthehugeattentiono

3、fmanyresearchersandarethefocusforstudy.Noisesareubiquitousinvivoandcanaltertheresponseofneuronsandthesignalpropagationinvariousways.However,howdoesnoiseaffecttheoriginationofneuralsignalandhowdonoiseandsynapsealterthepropagationofthesignaljointly?Theseissueshavestimulatedintere

4、stofmanybiologists、bioelectromagneticsscientistsandphysicists..Byinspiringoftheabove-mentionedsense,ourworkhasstudiedindetailtheeffectsofnoiseontheactionpotentialofasingleneuron,thenoiseintensityandthecoupledstrengthonfrequencylocking,thenoiseintensityandthecouplingstrengthonth

5、esynchronization,thespiketimingprecisionandthesignalpropagationbetweenthetwoneuronalensembles.Byrigorousnumericalsimulation,theworkmakesavaluableexplorationinthepropagationofneuralsignal.Themajororiginalresultsinthethesisaresummarizedasfollows:1.Forasingleneuron,thespikerateinc

6、reaseswiththenoiseintensity,whichisthebasisofthenoise-inducedfrequencylockingbetweenneurons.2.Ratesynchronizationoftwocoupledneuronsisstudied.Thenoiseintensityandthecoupledstrengthplayacomplementaryroleonneuronalsynchronousactivity:Athree-dimensionaldiagramisplottedtoshowthesyn

7、chronizationregime.3.Adoptingthedynamicalmean-fieldapproximationtheoryandpopulationcode,itisdiscussedbynumericalsimulationthattheeffectsofnoiseintensityandthecouplingstrengthon-ii-河北工业大学博士论文thesynchronizationandthespiketimingprecision,andsomenewresultsaregotten:(1)Noiseincrease

8、stherandomnessoftheneuronresponseanddecreasesthecorrel