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1、PSY368HumanMemorySemanticMemorycont.ReconstructiveMemoryAnnouncementsDatafromExperiment3dueApril9(Mon)Experiment3ReportdueApril16IfyoumissedthedetailsoftheExperiment,IincludedthemagainattheendofthislectureOptionalreadingforMondayispostedonBlackboardsi
2、te(MediaLibrary:OptionalReadings):Einstein,etal(2005)ProspectiveMemoryarticleDr.DawnMcBridewillbeourspeakerExam2…washard!Themean%was67.7%.Therangeofscoreswasfrom41%to92%Sowheninterpretingyourscore,think“goodjob”ifinthe80sand90sand‘okay’ifinthemid60sto
3、70s.ItwasharderthanIexpected,soIamthinkingaboutofferinganadditional,one-time-onlyextracreditoption.I’llgetthedetailshammeredoutthisweekend(probablyanotherarticleandfocusquestionskindofthing)SummaryofSemanticMemorySemanticmemory=knowledgeSomeevidencefo
4、raseparatesystemEarlymodelssuggestedhierarchicalnetwork-cognitiveeconomyResultssuggestnostricthierarchyorcognitiveeconomyButcurrentnetworkmodelssuggestloosenedhierarchy(spreadingactivation)Otherideas:compoundcues,prototypes,exemplars,schemasWhatkindof
5、impactisthereofthisorganizationonretrievalofmemories?AlternativestoSpreadingactivationmodelsExaminemechanismsofprimingandextenttoexplainofprimingeffectsMakepredictionsaboutperformanceinmemoryretrievaltasksGenerallytheyaremathematicalmodelsthatpredicts
6、etsofresultsbasedonstrengthofcueassociationsTherearealotofmodelstochoosefrom(see“optionalchapter”fordetails)InSAM(SearchofAssociativeMemory),amatrixofassociationamongcuesandmemorytraces,whicharecalledimagesCuesareassembledinashort-termstore,orprobeset
7、,whichisthematchagainstalliteminmemoryInTODAM(TheoryOfDistributedAssociativeMemory),to-be-remembereditemsarerepresentedasvectorsoffeaturesSumofvectors,convolutionTheresultingscalarcanbemappedintofamiliarityand,inturn,intoresponsetimeandaccuracyCompoun
8、dCueModelsSemanticsasExemplarsInstancetheory:eachconceptisrepresentedasexamplesofpreviousexperience(e.g.,Medin&Schaffer,1978;Hintzman,1986)dogMakecomparisonstostoredinstancesTypicallyhaveaprobabilisticcomponentWhichinstancegetsretrievedforcomp