2024
A neural network model of differentiation and integration of competing memories
Ritvo V, Nguyen A, Turk-Browne N, Norman K. A neural network model of differentiation and integration of competing memories. ELife 2024, 12 DOI: 10.7554/elife.88608.3.Peer-Reviewed Original ResearchNeural network modelUnsupervised neural network modelUnsupervised learning mechanismLearning mechanismLearning modelsNetwork modelComputational explanationInactive memoryNeural representationActive competitorsDiverse setRepresentationMemoryRepresentation of memoryMemory literatureBrain regionsNovel predictionsA neural network model of differentiation and integration of competing memories
Ritvo V, Nguyen A, Turk-Browne N, Norman K. A neural network model of differentiation and integration of competing memories. ELife 2024, 12: rp88608. PMID: 39319791, PMCID: PMC11424095, DOI: 10.7554/elife.88608.Peer-Reviewed Original ResearchConceptsNeural network modelUnsupervised neural network modelUnsupervised learning mechanismLearning mechanismLearning modelsNetwork modelComputational explanationInactive memoryNeural representationActive competitorsDiverse setRepresentationMemoryRepresentation of memoryMemory literatureBrain regionsNovel predictionsComputational reconstruction of mental representations using human behavior
Caplette L, Turk-Browne N. Computational reconstruction of mental representations using human behavior. Nature Communications 2024, 15: 4183. PMID: 38760341, PMCID: PMC11101448, DOI: 10.1038/s41467-024-48114-6.Peer-Reviewed Original ResearchConceptsMental representationsGoal of cognitive scienceVisual featuresNeural networkMultiple visual conceptsDeep neural networksConceptual representationCognitive scienceVisual conceptsSemantic spaceSemantic featuresHuman behaviorParticipantsNetworkRepresentationStimuliBehaviorFeaturesImagesComputer reconstructionTask
2023
Multiple Memory Subsystems: Reconsidering Memory in the Mind and Brain
Sherman B, Turk-Browne N, Goldfarb E. Multiple Memory Subsystems: Reconsidering Memory in the Mind and Brain. Perspectives On Psychological Science 2023, 19: 103-125. PMID: 37390333, PMCID: PMC10756937, DOI: 10.1177/17456916231179146.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMemory representationsDistinct brain systemsLong-term memoryBrain structuresCross-species findingsSame brain structuresMemory-related structuresMemory researchBrain systemsMemory typesMemory organizationMemoryFuture researchOrganizational principlesClassic theoryMemory subsystemNovel perspectiveRepresentationAmygdalaResearchRecent workLearningMindTheoryDistinct types
2022
Spatial Gist Extraction During Human Memory Consolidation
Antony JW, Stiver CA, Graves KN, Osborne J, Turk-Browne NB, Bennion KA. Spatial Gist Extraction During Human Memory Consolidation. Journal Of Experimental Psychology Learning Memory And Cognition 2022, 48: 929-941. PMID: 34323577, DOI: 10.1037/xlm0000894.Peer-Reviewed Original ResearchConceptsGist-like representationsMemory consolidationHuman memory consolidationExplicit memoryObject exemplarsGist extractionDistributional learningHuman learningVivid memoriesExperiment 3Virtual mazeExperiment 1Spatial navigationExperiment 2Explicit testsHidden objectBehavioral experimentsMemoryTemporal dynamicsRepresentation increasesNavigation performanceLearningRepresentationConsolidationHuman subjects
2021
The promise of awake behaving infant fMRI as a deep measure of cognition
Yates T, Ellis C, Turk-Browne N. The promise of awake behaving infant fMRI as a deep measure of cognition. Current Opinion In Behavioral Sciences 2021, 40: 5-11. DOI: 10.1016/j.cobeha.2020.11.007.Peer-Reviewed Original Research
2019
Nonmonotonic Plasticity: How Memory Retrieval Drives Learning
Ritvo VJH, Turk-Browne NB, Norman KA. Nonmonotonic Plasticity: How Memory Retrieval Drives Learning. Trends In Cognitive Sciences 2019, 23: 726-742. PMID: 31358438, PMCID: PMC6698209, DOI: 10.1016/j.tics.2019.06.007.Peer-Reviewed Original ResearchConceptsRecent fMRI studiesFunction of learningMemory retrievalMemory causesNeural representationFMRI studyInactive memorySame associatesSupervised learning modelDifferent stimuliLearningLearning modelStimuliNumerous findingsSame outcomeUnsupervised learningMemoryFindingsRetrievalOutcomesRepresentationIntegrationActivation causes
2017
Flexible weighting of diverse inputs makes hippocampal function malleable
Aly M, Turk-Browne NB. Flexible weighting of diverse inputs makes hippocampal function malleable. Neuroscience Letters 2017, 680: 13-22. PMID: 28587901, PMCID: PMC5712489, DOI: 10.1016/j.neulet.2017.05.063.Peer-Reviewed Original ResearchConceptsHippocampal functionAspects of cognitionDiverse cognitive functionsDedicated memory systemGeneral neural mechanismHippocampal computationsHippocampal representationsNeural mechanismsBehavioral goalsCognitive functionFlexible weightingMemory systemAnatomical inputsCognitionRecent researchPerceptionClassic theoryHippocampal modulationHippocampusDiverse inputsAttentionMemoryMalleabilityBroader roleRepresentationNeural Differentiation of Incorrectly Predicted Memories
Kim G, Norman KA, Turk-Browne NB. Neural Differentiation of Incorrectly Predicted Memories. Journal Of Neuroscience 2017, 37: 2022-2031. PMID: 28115478, PMCID: PMC5338753, DOI: 10.1523/jneurosci.3272-16.2017.Peer-Reviewed Original ResearchConceptsNeural representationPrevious contextTarget memoryBOLD activity patternsGreater neural differentiationMemory representationsHuman fMRIMemory weakeningTrial fashionSubsequent restudySuch memoriesIndividual memoryNeural network simulationMemoryControl conditionFMRIComputational modelItemsPrediction strengthRestudyNeural connectionsPrediction errorMore differentiationParticular contextRepresentation
2016
When past is present: Substitutions of long-term memory for sensory evidence in perceptual judgments
Fan JE, Hutchinson JB, Turk-Browne NB. When past is present: Substitutions of long-term memory for sensory evidence in perceptual judgments. Journal Of Vision 2016, 16: 1-1. PMID: 27248565, PMCID: PMC4898202, DOI: 10.1167/16.8.1.Peer-Reviewed Original Research
2014
Pruning of memories by context-based prediction error
Kim G, Lewis-Peacock JA, Norman KA, Turk-Browne NB. Pruning of memories by context-based prediction error. Proceedings Of The National Academy Of Sciences Of The United States Of America 2014, 111: 8997-9002. PMID: 24889631, PMCID: PMC4066528, DOI: 10.1073/pnas.1319438111.Peer-Reviewed Original ResearchConceptsFunctional magnetic resonance imagingPattern similarity analysisLong-term memoryMultivariate pattern classificationContext-based predictionsExperienced contextItem representationsMemoryHuman brainUnreliable memorySimilarity analysisPrediction errorAdaptive processItemsMagnetic resonance imagingRobust supportRepresentationPattern classificationResonance imagingContextBrainMemory banksFindingsSupportBehavior
2013
Internal attention to features in visual short-term memory guides object learning
Fan JE, Turk-Browne NB. Internal attention to features in visual short-term memory guides object learning. Cognition 2013, 129: 292-308. PMID: 23954925, PMCID: PMC3791170, DOI: 10.1016/j.cognition.2013.06.007.Peer-Reviewed Original ResearchConceptsVisual long-term memoryVisual short-term memoryShort-term memoryInternal attentionVisual learningLong-term memoryResponse learningAbstract shapesObject representationsParticular colorSensory exposureSame objectMemorySubsequent testsLearningMultiple featuresObjectsObserverAttentionRepresentationMindBiasSupportHypothesisNeural representations of events arise from temporal community structure
Schapiro AC, Rogers TT, Cordova NI, Turk-Browne NB, Botvinick MM. Neural representations of events arise from temporal community structure. Nature Neuroscience 2013, 16: 486-492. PMID: 23416451, PMCID: PMC3749823, DOI: 10.1038/nn.3331.Peer-Reviewed Original Research
2012
Scene Representations in Parahippocampal Cortex Depend on Temporal Context
Turk-Browne NB, Simon MG, Sederberg PB. Scene Representations in Parahippocampal Cortex Depend on Temporal Context. Journal Of Neuroscience 2012, 32: 7202-7207. PMID: 22623664, PMCID: PMC3373994, DOI: 10.1523/jneurosci.0942-12.2012.Peer-Reviewed Original ResearchConceptsParahippocampal cortexTemporal contextVentral visual cortexScene-selective regionsCognitive neuroscienceStimulus-evoked activitySame stimuliHuman perceptionCurrent stimulusIdentical scenesVisual cortexScene representationStimuliDifferent stimuliCortexSuch representationsSceneComplex environmentsNeuroscienceSpecific typesRepresentationEncodingPerceptionContextCommon assumption
2011
A Taxonomy of External and Internal Attention
Chun MM, Golomb JD, Turk-Browne NB. A Taxonomy of External and Internal Attention. Annual Review Of Psychology 2011, 62: 73-101. PMID: 19575619, DOI: 10.1146/annurev.psych.093008.100427.Peer-Reviewed Original ResearchConceptsInternal attentionExternal attentionModality-specific inputLong-term memoryTarget of attentionPerceptual attentionAttentional mechanismsCognitive operationsTask rulesSustain focusNeural mechanismsSensory informationType of informationMemoryOrganizing frameworkClassic debateAttentionBroader levelLimited capacityCore propertiesInformationSignificant problemRepresentationTaxonomyExternal
2009
Flexible Visual Statistical Learning: Transfer Across Space and Time
Turk-Browne NB, Scholl BJ. Flexible Visual Statistical Learning: Transfer Across Space and Time. Journal Of Experimental Psychology Human Perception & Performance 2009, 35: 195-202. PMID: 19170482, DOI: 10.1037/0096-1523.35.1.195.Peer-Reviewed Original Research
2008
Spatiotemporal object continuity in human ventral visual cortex
Yi DJ, Turk-Browne NB, Flombaum JI, Kim MS, Scholl BJ, Chun MM. Spatiotemporal object continuity in human ventral visual cortex. Proceedings Of The National Academy Of Sciences Of The United States Of America 2008, 105: 8840-8845. PMID: 18591658, PMCID: PMC2442124, DOI: 10.1073/pnas.0802525105.Peer-Reviewed Original ResearchConceptsVentral visual cortexHuman ventral visual cortexNeural representationVisual cortexFace-selective cortical regionsSpatiotemporal continuityCoherent visual experienceSame persisting individualsCognitive science researchPerceptual representationsObject identityObject continuityIdentical objectsLess activationVisual experienceApparent motionObject persistenceVisual featuresCortical regionsSuch processingCortexDifferent individualsObjectsRepresentationPowerful principle
2006
Linking Implicit and Explicit Memory: Common Encoding Factors and Shared Representations
Turk-Browne NB, Yi DJ, Chun MM. Linking Implicit and Explicit Memory: Common Encoding Factors and Shared Representations. Neuron 2006, 49: 917-927. PMID: 16543138, DOI: 10.1016/j.neuron.2006.01.030.Peer-Reviewed Original ResearchConceptsExplicit memorySubsequent memoryBrain-behavior correlationsForms of memoryImplicit memoryImplicit measuresPerceptual processesBehavioral primingHuman memoryFMRI sessionsShared representationNovel scenesMemoryQuestions concernOpen question concernsSceneMeasuresRepresentationTime courseImplicitPrimingNatural time courseConventional measuresSessionsAttention
2005
The Automaticity of Visual Statistical Learning
Turk-Browne NB, Jungé J, Scholl BJ. The Automaticity of Visual Statistical Learning. Journal Of Experimental Psychology General 2005, 134: 552-564. PMID: 16316291, DOI: 10.1037/0096-3445.134.4.552.Peer-Reviewed Original ResearchConceptsVisual statistical learningStatistical learningResponse time measuresSelective attentionImplicit processesCover taskVisual environmentVisual systemAutomaticityLearningMassive amountsStatistical patternsAttentionAwarenessStimuliTaskFamiliarityRelevant populationInformationMeasuresRepresentationObjectsRecent studiesIntent