Featured Publications
Motor learning without movement
Kim OA, Forrence AD, McDougle SD. Motor learning without movement. Proceedings Of The National Academy Of Sciences Of The United States Of America 2022, 119: e2204379119. PMID: 35858450, PMCID: PMC9335319, DOI: 10.1073/pnas.2204379119.Peer-Reviewed Original ResearchMeSH KeywordsAdaptation, PhysiologicalFeedback, SensoryHumansLearningMovementPsychomotor PerformanceConceptsImplicit motor adaptationSensory prediction errorsMotor adaptationSingle-trial adaptationSubset of trialsForms of learningImplicit adaptationSensory predictionsMotor planningVisuomotor taskPrediction errorHuman participantsTeaching signalMovement executionMotor imageryOvert movementMotor commandsSensory feedbackMovement trialsDirection of movementAdaptationTaskBrainParticipantsRecent workRevisiting the Role of the Medial Temporal Lobe in Motor Learning
McDougle SD, Wilterson SA, Turk-Browne NB, Taylor JA. Revisiting the Role of the Medial Temporal Lobe in Motor Learning. Journal Of Cognitive Neuroscience 2022, 34: 532-549. PMID: 34942649, PMCID: PMC8832157, DOI: 10.1162/jocn_a_01809.Peer-Reviewed Original ResearchConceptsMedial temporal lobeMotor learningMemory processesMemory systemTemporal lobeImplicit memory systemDeclarative memory processesMultiple memory systemsAction-outcome associationsMotor learning tasksFlexible action selectionMTL damageDeclarative memoryPsychological mechanismsNeural correlatesSelection deficitsLearning taskAction selectionMotor skillsTaxonomic modelMotor performanceAge-matched controlsAmnesicsPrevious findingsLearningContext is key for learning motor skills
Collins AGE, McDougle SD. Context is key for learning motor skills. Nature 2021, 600: 387-388. PMID: 34789883, DOI: 10.1038/d41586-021-03028-x.Peer-Reviewed Original ResearchConceptsMotor skillsDissociable cognitive strategies for sensorimotor learning
McDougle S, Taylor J. Dissociable cognitive strategies for sensorimotor learning. Nature Communications 2019, 10: 40. PMID: 30604759, PMCID: PMC6318272, DOI: 10.1038/s41467-018-07941-0.Peer-Reviewed Original ResearchConceptsCognitive strategiesMotor learningDistinct cognitive representationTime pressureSensorimotor transformation taskHuman motor learningStimulus-response contingenciesMemory representationsCognitive representationsDistribution of movementDistal goalsTask complexitySensorimotor learningBehavioral flexibilityTransformation taskVisual targetsGeneralization experimentsMovement planReaction timeTransfer effectsDownstream consequencesLearningResponse cachingRepresentationTaskCredit assignment in movement-dependent reinforcement learning
McDougle S, Boggess M, Crossley M, Parvin D, Ivry R, Taylor J. Credit assignment in movement-dependent reinforcement learning. Proceedings Of The National Academy Of Sciences Of The United States Of America 2016, 113: 6797-6802. PMID: 27247404, PMCID: PMC4914179, DOI: 10.1073/pnas.1523669113.Peer-Reviewed Original ResearchConceptsCredit assignment problemKey pressesMovement errorsExplicit senseTwo-armed bandit taskReward prediction errorKey-press conditionDecision-making taskAbsence of rewardReinforcement learningBandit taskImplicit influenceVisual cuesMotor executionMotor competenceReinforcement modelSuch tasksCredit assignmentActual movementTaskGating hypothesisImplicit representationRewardLearningError signal
2024
Fundamental processes in sensorimotor learning: Reasoning, refinement, and retrieval
Tsay J, Kim H, McDougle S, Taylor J, Haith A, Avraham G, Krakauer J, Collins A, Ivry R. Fundamental processes in sensorimotor learning: Reasoning, refinement, and retrieval. ELife 2024, 13: e91839. PMID: 39087986, PMCID: PMC11293869, DOI: 10.7554/elife.91839.Peer-Reviewed Original ResearchConceptsSensorimotor learningMotor learningAction-outcome relationshipsContribution of explicit strategiesSensorimotor learning tasksConscious awarenessCognitive parametersMotor goalsLearning tasksSensorimotorExplicit strategiesLearningControl policiesMotorRetrievalCognitionComplex movementsFrameworkTaskTheoretical frameworkSophisticated modelsDevelopment of sophisticated models
2023
Metacognitive judgments during visuomotor learning reflect the integration of error history
Hewitson C, Al-Fawakhiri N, Forrence A, McDougle S. Metacognitive judgments during visuomotor learning reflect the integration of error history. Journal Of Neurophysiology 2023, 130: 264-277. PMID: 37377281, DOI: 10.1152/jn.00022.2023.Peer-Reviewed Original ResearchConceptsConfidence judgmentsMetacognitive judgmentsMotor learningMotor errorsVisuomotor learningHigher-order cognitionMetacognitive confidence judgmentsRange of tasksMetacognitive representationExplicit motorNeural studiesComputational modeling approachOwn abilityEnvironmental volatilityPeople's confidenceJudgmentsMotor controlLearning environmentLearningConfidence estimatesDescriptive modelError historyComputational modelingError costsCognition
2021
Post-error Slowing During Instrumental Learning is Shaped by Working Memory-based Choice Strategies
McDougle SD. Post-error Slowing During Instrumental Learning is Shaped by Working Memory-based Choice Strategies. Neuroscience 2021, 486: 37-45. PMID: 34695537, DOI: 10.1016/j.neuroscience.2021.10.016.Peer-Reviewed Original ResearchMeSH KeywordsConditioning, OperantHumansLearningMemory, Short-TermReaction TimeReinforcement, PsychologyConceptsPost-error slowingPost-error processingDistinct neural correlatesMemory-based strategyMedial prefrontal cortexProgress of learningMultiple distinct processesExecutive resourcesWorking memoryNeural signaturesNeural correlatesCognitive loadVisuomotor skillsReinforcement learning systemTask performanceInstrumental learningPrefrontal cortexHigh load conditionsSensorimotor regionsMemoryChoice strategiesDistinct processesComputational modelLearningLearning systemProlonged response time helps eliminate residual errors in visuomotor adaptation
Langsdorf L, Maresch J, Hegele M, McDougle SD, Schween R. Prolonged response time helps eliminate residual errors in visuomotor adaptation. Psychonomic Bulletin & Review 2021, 28: 834-844. PMID: 33483935, PMCID: PMC8219572, DOI: 10.3758/s13423-020-01865-x.Peer-Reviewed Original ResearchConceptsSpeed-accuracy tradeoffAdaptation taskCognitive strategiesMotor planningExplicit re-aiming strategiesVisuomotor adaptation taskProlonged response timeAttentional reorientingImplicit learningObligatory computationVisuomotor adaptationVisual targetsMovement planningPersistent curiosityAsymptotic learningIncomplete learningMovement startTaskParticipantsLearningLast experimentResponse timeWaiting periodIncomplete adaptationMovement intent
2020
Assessing explicit strategies in force field adaptation
Schween R, McDougle S, Hegele M, Taylor J. Assessing explicit strategies in force field adaptation. Journal Of Neurophysiology 2020, 123: 1552-1565. PMID: 32208878, PMCID: PMC7191530, DOI: 10.1152/jn.00427.2019.Peer-Reviewed Original Research
2019
Neural Signatures of Prediction Errors in a Decision-Making Task Are Modulated by Action Execution Failures
McDougle S, Butcher P, Parvin D, Mushtaq F, Niv Y, Ivry R, Taylor J. Neural Signatures of Prediction Errors in a Decision-Making Task Are Modulated by Action Execution Failures. Current Biology 2019, 29: 1606-1613.e5. PMID: 31056386, PMCID: PMC6535105, DOI: 10.1016/j.cub.2019.04.011.Peer-Reviewed Original ResearchConceptsNegative reward prediction errorsPrediction error computationNegative prediction errorsReward prediction errorAction Execution FailuresDecision-making taskPrediction errorExecution errorsNeural signaturesReward outcomesAction executionClassic reinforcementAction selectionNegative outcomesNeural activityMesostriatal dopamine systemModel-driven analysisExecution failuresDopamine systemDecision makingHuman striatumEcological utilityHigh-level informationReinforcement learningError computation
2016
Taking Aim at the Cognitive Side of Learning in Sensorimotor Adaptation Tasks
McDougle S, Ivry R, Taylor J. Taking Aim at the Cognitive Side of Learning in Sensorimotor Adaptation Tasks. Trends In Cognitive Sciences 2016, 20: 535-544. PMID: 27261056, PMCID: PMC4912867, DOI: 10.1016/j.tics.2016.05.002.Peer-Reviewed Original ResearchConceptsSensorimotor adaptation taskAdaptation taskError-based learningMultiple learning processesGoal-oriented behaviorCurrent computational modelsCognitive strategiesCognitive sideSensorimotor learningConjoint impactNew work pointsMotor commandsLearning processComputational modelLearningTaskAutomatic mannerMultiple processesSensorimotorRecent workWork pointsResearchBehaviorProcess
2015
Explicit and Implicit Processes Constitute the Fast and Slow Processes of Sensorimotor Learning
McDougle S, Bond K, Taylor J. Explicit and Implicit Processes Constitute the Fast and Slow Processes of Sensorimotor Learning. Journal Of Neuroscience 2015, 35: 9568-9579. PMID: 26134640, PMCID: PMC4571499, DOI: 10.1523/jneurosci.5061-14.2015.Peer-Reviewed Original ResearchConceptsImplicit processesSensorimotor learningImplicit learningMotor learningPutative psychological mechanismsComputational modeling analysisMultiplicity of processesExplicit learningPsychological mechanismsMotor memoryNeural substratesTask performanceSensorimotor tasksModeling analysisLearning processLearningLearning operationDistinct manifestationsMemoryRecent evidenceSensorimotorWide netTaskPopular modelsLearning curve