grant
How neuronal ensembles control brain network dynamics to drive action
NIHUS FederalResearch GrantFY20252-photon microscopyBehaviorBeliefBrainBrain Nervous SystemCollaborationsComputer ModelsComputerized ModelsDimensionsEncephalonExperimental ModelsFoundationsFutureHolographyImageIn vivo analysisIndividualInvestigationInvestigatorsKnowledgeLeadLearningMeasurementMeasuresMemoryMentorshipMiceMice MammalsMicroscopyModelingModificationMotor CortexMovementMurineMusNerve CellsNerve UnitNeural CellNeurobiologyNeurocyteNeuronsNeurosciencesOpsinOpticsOrganismOutcomePatternPb elementPerformancePopulationPositionPositioning AttributeProtocolProtocols documentationPsychological reinforcementRecurrenceRecurrentReinforcementResearchResearch PersonnelResearchersRod-OpsinRunningShapesTechniquesTestingTherapeuticTimeTrainingUniversitiesVisitWorkauditory feedbackbody movementbrain controlbrain machine interfacecalcium indicatorcomputational modelingcomputational modelscomputer based modelscomputerized modelingcontrol theorydesigndesigningdriving behaviorexperimentexperimental researchexperimental studyexperimentsheavy metal Pbheavy metal leadimagingin vivoin vivo evaluationin vivo testinginnovateinnovationinnovativelearning networkliving systemnetwork modelsneuralneural patterningneuro-prostheticneurobiologicalneuronalneuroprosthesisneuroprostheticnew approachesnext generationnovelnovel approachesnovel strategiesnovel strategyopticalprogramsresponseskillsspatial and temporalspatial temporalspatiotemporaltwo photon excitation microscopytwo photon microscopy
Description preview
PROJECT ABSTRACT
If an organism performs an action that leads to a desired outcome, it is able to perform that action again in
the future in order to obtain that same outcome. While work on the mechanisms of reinforcement learning has
extensively studied how the brain learns certain actions are more valuable than others, there is little knowledge…
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