Optimallearningmethodsoftendifferbasedontaskgoals,whetheritbeenhancinggeneralizedknowledgethat canbeflexiblyappliedtonewcontextsorrememberingspecificdetailsofasingleevent.Researchhas identifieddifferentneuralcodesthatsupportthesetwodifferenttypesoflearning:integratedrepresentations storedinanteriorhippocampus(aHPC)andmedialprefrontalcortex(mPFC)promoteknowledgethatis generalizable,whereaspatternseparatedrepresentationsstoredinposteriorhippocampus(pHPC)andlateral prefrontalcortex(lPFC)promotedescriminationandspecificity.However,thereisagenerallackof understandingofhowintegratedandseparatedneuralrepresentationsmaycompeteorinteract,andhow differentlearningexperiencescanshapetheformationandretentionofdifferentneuralrepresentationstodrive subsequentbehaviors.Thus,theoverarchinggoalofthisproposalistoidentifythemechanismsandtraining conditionsthatpromotethesuccessfulacquisitionandretentionofdifferenttypesofknowledge.Weproposea neuro-computationalapproachtoexaminecategorylearning,whichallowsustosimulteneouslymeasureand assesstrade-offsassociatedwiththeacquisitionandretentionofgeneralized(category-level)anddetailed (exemplar-level)knowledgeasafunctionofdifferentlearningexperiences.
In Aim1, wewillusemodel-based fMRIanalysestocharacterizehowattentionbiasesformationofneuralrepresentationsinaHPCvia interactionswithmPFCtoimprovegeneralizationatthecostofspecificity.
In Aim2, wewillmanipulatestimulus presentationordertodeterminehowdifferentlearningexperiencescanbiasindividualstoformgeneral (integrated)vs.specific(pattern-separated)knowledgerepresentationsinHPCandPFCusingrepresentational similarityanalysis(RSA)techniques.
In Aim3, wewilluseconnectivitymeasuresandRSAtoidentifyneural patternswithintheHPC-PFCcircuitthatpredictsuccessfulconsolidationofgeneralvs.specificinformationand determinetheconditionsassociatedwithsuccessfullong-termretentionofknowledge.Findingsfromthese proposedstudiescanhelpuncoverwaystoimprovetrainingparadigmsandtargetlearninginterventionsto individualizeandoptimizeknowledgeretention.ThisresearchisparticularlyrelevanttopatientswithAlzeimer?s disease,epilepsy,anddementia,whoexperienceprofounddeficitsinlearningandmemoryretention.

Public Health Relevance

Theproposedresearchexamineshowneuralrepresentationsareshapedduringdifferentlearningexperiences topromotelearningandmemoryretentionthroughdistinctmechamisms.Indoingso,thisresearchwillprovide importantinsightsintotargetinglearninginterventionsthatcanenhancetheacquisitionandretentionof knowledgeinvariousclinicalpopulations.Findingsfromthisresearchwillprovideimportantinsightsinto helpingindividualssufferingfromneurologicaldisorderssuchasAlzheimer?sdisease,epilepsy,andstroke- induceddementiascompensateforassociatedlearningandmemorydeficitsbyoptimzingtrainingconditions thatpromotetheformationofneuralrepresentationsassociatedwithlong-termretention.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Predoctoral Individual National Research Service Award (F31)
Project #
5F31NS105353-02
Application #
9619982
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Babcock, Debra J
Project Start
2017-09-29
Project End
2019-09-28
Budget Start
2018-09-29
Budget End
2019-09-28
Support Year
2
Fiscal Year
2018
Total Cost
Indirect Cost
Name
University of Texas Austin
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
170230239
City
Austin
State
TX
Country
United States
Zip Code
78759