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 ResearchConceptsImplicit 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 workContinuous manipulation of mental representations is compromised in cerebellar degeneration
McDougle SD, Tsay JS, Pitt B, King M, Saban W, Taylor JA, Ivry RB. Continuous manipulation of mental representations is compromised in cerebellar degeneration. Brain 2022, 145: 4246-4263. PMID: 35202465, PMCID: PMC10200308, DOI: 10.1093/brain/awac072.Peer-Reviewed Original ResearchConceptsDisorder groupMental representationsMental operationsVisual working memorySingle-digit additionPerformance of individualsMental workspaceWorking memoryCognitive tasksMemory retrievalVisual cognitionMental rotationNeuropsychological experimentsMathematical cognitionScanning itemsArithmetic taskCognitionDisparate domainsDegenerative cerebellar disordersMotor controlVisual representationTaskContinuous manipulationCerebellar disordersIterative manipulationRevisiting 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 findingsLearningGoing beyond primary motor cortex to improve brain–computer interfaces
Gallego JA, Makin TR, McDougle SD. Going beyond primary motor cortex to improve brain–computer interfaces. Trends In Neurosciences 2022, 45: 176-183. PMID: 35078639, DOI: 10.1016/j.tins.2021.12.006.Peer-Reviewed Original ResearchDissociable 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 cachingRepresentationTaskExecutive Function Assigns Value to Novel Goal-Congruent Outcomes
McDougle SD, Ballard IC, Baribault B, Bishop SJ, Collins AGE. Executive Function Assigns Value to Novel Goal-Congruent Outcomes. Cerebral Cortex 2021, 32: 231-247. PMID: 34231854, PMCID: PMC8634563, DOI: 10.1093/cercor/bhab205.Peer-Reviewed Original ResearchConceptsReward circuitExecutive controlHuman reinforcementPrefrontal correlatesInstrumental learningFunctional neuroimagingNovel outcomesHigh-level representationSecondary reinforcerPrefrontal cortexMaterial rewardsSame circuitryDopaminergic circuitsNovel imageAssigns valueReward functionRewardNeuroimagingLow-level responsesComputational modelingFlexible responseReinforcersLearningCorrelatesCortexCredit 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 modelsDissociable Codes in Motor Working Memory
Hillman H, Botthof T, Forrence A, McDougle S. Dissociable Codes in Motor Working Memory. Psychological Science 2024, 35: 150-161. PMID: 38236687, DOI: 10.1177/09567976231221756.Peer-Reviewed Original ResearchConceptsWorking memoryInterfering movementsVisuospatial working memory loadWorking memory loadWorking memory subsystemsVarying cognitive loadMemory loadAbstract codeMotor informationSkill learningSensory domainsDegree of interferenceBehavioral controlMWMCognitive loadRepresentation formatComputational structureMemoryCodeTaskMemory subsystemMotorParticipantsDomain
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“Don't [ruminate], be happy”: A cognitive perspective linking depression and anhedonia
Rutherford A, McDougle S, Joormann J. “Don't [ruminate], be happy”: A cognitive perspective linking depression and anhedonia. Clinical Psychology Review 2023, 101: 102255. PMID: 36871425, DOI: 10.1016/j.cpr.2023.102255.Peer-Reviewed Original ResearchConceptsPositive affectNegative affectSustained negative affectCognitive constructsCognitive theoryCognitive perspectiveLack of pleasureCognitive deficitsSpecific thoughtsIntervention effortsDifferent theoretical lensesAffectRuminationAnhedoniaDeficitsExtant literatureMemoryDepressionHallmark featureComputational modelingTheoretical lensesEnvironmental cuesLess focusDebilitating disorderCues
2022
Distinct Neural Signatures of Outcome Monitoring After Selection and Execution Errors
Mushtaq F, McDougle SD, Craddock MP, Parvin DE, Brookes J, Schaefer A, Mon-Williams M, Taylor JA, Ivry RB. Distinct Neural Signatures of Outcome Monitoring After Selection and Execution Errors. Journal Of Cognitive Neuroscience 2022, 34: 748-765. PMID: 35104323, PMCID: PMC8969121, DOI: 10.1162/jocn_a_01824.Peer-Reviewed Original ResearchConceptsBehavioral adjustmentDistinct neural signaturesDistinct neural correlatesMedial frontal negativityExecution errorsErrors of executionProbabilistic reward taskErrors of selectionLarger FRNError positivityFrontal negativityUnrewarded outcomesNeural signaturesError processingNeural correlatesReward taskError attributionParietal sitesParietal signalsStroke executionFuture actionsEEG activitySelection errorsShot selectionTask
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 ResearchConceptsPost-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
Behavioral, Physiological, and Neural Signatures of Surprise during Naturalistic Sports Viewing
Antony JW, Hartshorne TH, Pomeroy K, Gureckis TM, Hasson U, McDougle SD, Norman KA. Behavioral, Physiological, and Neural Signatures of Surprise during Naturalistic Sports Viewing. Neuron 2020, 109: 377-390.e7. PMID: 33242421, DOI: 10.1016/j.neuron.2020.10.029.Peer-Reviewed Original ResearchConceptsEvent segmentation theoryLong-term memoryFlow of experienceNeural signaturesNeural correlatesEvent boundariesReal-world contextsAffective experienceGame enjoymentResilient memoryPupil dilationSurprising momentsNeocortical patternsTheoretical conceptualizationOngoing experienceSubcortical regionsPredominant beliefsBasketball analyticsSegmentation theoryBelief stateKey predictionsSports ViewingMemoryBasketball gamesSurpriseModeling the influence of working memory, reinforcement, and action uncertainty on reaction time and choice during instrumental learning
McDougle SD, Collins AGE. Modeling the influence of working memory, reinforcement, and action uncertainty on reaction time and choice during instrumental learning. Psychonomic Bulletin & Review 2020, 28: 20-39. PMID: 32710256, PMCID: PMC7854965, DOI: 10.3758/s13423-020-01774-z.Peer-Reviewed Original ResearchConceptsInstrumental learningInstrumental learning processesReaction time effectsStages of learningDegree of deliberationReward contingenciesPerceptual evidenceParsimonious accountTask complexityInternal representationAction uncertaintyUnique predictionDecision dynamicsAction valuesPast experienceLearning processReaction timeMemoryLearningProcess modelTime effectsTaskDecision-making frameworkContingenciesPrior uncertaintyAssessing 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
Highlights from the 29th Annual Meeting of the Society for the Neural Control of Movement
Mathis A, Pack A, Maeda R, McDougle S. Highlights from the 29th Annual Meeting of the Society for the Neural Control of Movement. Journal Of Neurophysiology 2019, 122: 1777-1783. PMID: 31461364, PMCID: PMC6843106, DOI: 10.1152/jn.00484.2019.Peer-Reviewed Original ResearchNeural 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
2018
Credit Assignment in a Motor Decision Making Task Is Influenced by Agency and Not Sensory Prediction Errors
Parvin D, McDougle S, Taylor J, Ivry R. Credit Assignment in a Motor Decision Making Task Is Influenced by Agency and Not Sensory Prediction Errors. Journal Of Neuroscience 2018, 38: 4521-4530. PMID: 29650698, PMCID: PMC5943979, DOI: 10.1523/jneurosci.3601-17.2018.Peer-Reviewed Original Research