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1、ARTICLEAnalogNeuromorphicModuleBasedonCarbonNanotubeSynapsesAlexMingShen,Chia-LingChen,KyunghyunKim,ByungjinCho,AndrewTudor,andYongChen*DepartmentofMechanicalandAerospaceEngineering,andCaliforniaNanoSystemsInstitute,UniversityofCalifornia,LosAngeles,California90095,UnitedStatesABS
2、TRACTWereportananalogneuromorphicmodulecomposedofp-typecarbonnanotube(CNT)synapsesandanintegrate-and-fire(I&F)circuit.TheCNTsynapsehasafield-effecttransistorstructurewitharandomCNTnetworkasitschannelandanaluminumoxidedielectriclayerimplantedwithindiumionsasitsgate.Apositivevoltagepul
3、se(spike)appliedonthegateattractselectronsintothedefectsitesofthegatedielectriclayer,andthetrappedelectronsaregraduallyreleasedafterthepulseisremoved.TheelectronsmodifytheholeconcentrationandinduceadynamicpostsynapticcurrentintheCNTchannel.Multipleinputspikesinduceexcitatoryorinhi
4、bitorypostsynapticcurrentsviaexcitatoryorinhibitoryCNTsynapses,whichflowtowardanI&Fcircuittotriggeroutputspikes.Thedynamictransferfunctionbetweentheinputandoutputspikesoftheneuromorphicmoduleisanalyzed.Themodulecouldpotentiallybescaleduptoemulatebiologicalneuralnetworksandtheirfunc
5、tions.KEYWORDS:carbonnanotube.neuromorphicmodule.synapse.analog.spikeequiringlesspowerthana100Wlightdimensionalinformation.Supercomputersbulb,thehumanbraincanprocesshavebeenusedtoimitatethecomplexRlargedimensionalinformationsuchnonlineardynamicfunctionsofaneuralasimagesandspeechmu
6、chfasterthananetwork.However,asupercomputercon-1,2supercomputer.Thehumanbraincon-sumesmuchmoreenergyandtimethan11tains∼10neuronsworkinginparalleltoaneuralnetworkwhenthenonlineardy-processspikesignals,whicharemillise-namicalgorithmsoftheneuralnetworkcond-longpotentialpulses.Atypica
7、lneuronareimplementedinthesupercomputer13receivesspikesfromafewthousandfellowbysoftware.Neuralnetworkshavealsoneuronsviasynapses,whicharethecon-beenemulatedbylarge-scaleSineuro-57nectionsbetweentwoneurons.Aspikemorphiccircuits.However,thesecircuitstriggersadynamicanalogpostsynap
8、ticcur-consumedsubstantiallymoree
