2024
Inducing representational change in the hippocampus through real-time neurofeedback
Peng K, Wammes J, Nguyen A, Iordan C, Norman K, Turk-Browne N. Inducing representational change in the hippocampus through real-time neurofeedback. Philosophical Transactions Of The Royal Society B Biological Sciences 2024, 379: 20230091. PMID: 39428880, PMCID: PMC11491844, DOI: 10.1098/rstb.2023.0091.Peer-Reviewed Original ResearchConceptsFunctional magnetic resonance imagingReal-time functional magnetic resonance imagingPatterns of fMRI activityCategorical perception taskReal-time neurofeedbackNeurocognitive mechanismsFMRI sessionStimulus similarityFMRI activationTask demandsBehavioral consequencesUntrained objectsNeural representationPerception taskMemory integrationRepresentational changeEndogenous neuromodulatorNeurofeedbackHippocampusCortical representationIncreased coactivationMagnetic resonance imagingVisual cortexMemoryMultiple theoriesA 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 reconstructionTaskInfant neuroscience: how to measure brain activity in the youngest minds
Turk-Browne N, Aslin R. Infant neuroscience: how to measure brain activity in the youngest minds. Trends In Neurosciences 2024, 47: 338-354. PMID: 38570212, DOI: 10.1016/j.tins.2024.02.003.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsFunctional magnetic resonance imagingFunctional near-infrared spectroscopyMeasure brain activityBrain activityApplication of functional magnetic resonance imagingHuman infantsCognitive neuroscienceCognitive tasksInfant brainAwake infantsMagnetic resonance imagingNear-infrared spectroscopyMagnetoencephalographyMindfulnessResonance imagingNon-invasive methodInfantsElectroencephalography
2023
Hippocampal Mechanisms Support Cortisol-Induced Memory Enhancements
Sherman B, Harris B, Turk-Browne N, Sinha R, Goldfarb E. Hippocampal Mechanisms Support Cortisol-Induced Memory Enhancements. Journal Of Neuroscience 2023, 43: 7198-7212. PMID: 37813570, PMCID: PMC10601369, DOI: 10.1523/jneurosci.0916-23.2023.Peer-Reviewed Original ResearchConceptsFunctional magnetic resonance imagingMemory enhancementEpisodic memoryAssociative memoryEpisodic memory encodingBrain regionsHigh-resolution functional magnetic resonance imagingHuman hippocampusHigh-resolution fMRIStress-related hormone cortisolHormone cortisolMemory benefitsEmotional memoryMemory encodingEmotional eventsEmotional associationsHippocampal representationsHippocampal signaturesFunctional neuroimagingHippocampal mechanismsStressful eventsFunctional connectivityHippocampal functionMemory formationSalient informationFunctional networks in the infant brain during sleep and wake states
Yates T, Ellis C, Turk-Browne N. Functional networks in the infant brain during sleep and wake states. Cerebral Cortex 2023, 33: 10820-10835. PMID: 37718160, DOI: 10.1093/cercor/bhad327.Peer-Reviewed Original ResearchConceptsFunctional connectivityMagnetic resonance imaging (MRI) scansFunctional magnetic resonance imaging (fMRI) scansWhole-brain functional connectivityResonance imaging scansInfant stateFunctional networksImaging scansAdult stateNatural sleepFunctional brain networksInfantsAwake restAwake fMRIInfant brainSleepBrain networksAdultsFrontoparietal control networkWake statesState of consciousnessDevelopmental changesBrainIntracranial Entrainment Reveals Statistical Learning across Levels of Abstraction
Sherman B, Aljishi A, Graves K, Quraishi I, Sivaraju A, Damisah E, Turk-Browne N. Intracranial Entrainment Reveals Statistical Learning across Levels of Abstraction. Journal Of Cognitive Neuroscience 2023, 35: 1312-1328. PMID: 37262357, DOI: 10.1162/jocn_a_02012.Peer-Reviewed Original ResearchAssociative memory retrieval modulates upcoming perceptual decisions
Bornstein A, Aly M, Feng S, Turk-Browne N, Norman K, Cohen J. Associative memory retrieval modulates upcoming perceptual decisions. Cognitive, Affective, & Behavioral Neuroscience 2023, 23: 645-665. PMID: 37316611, DOI: 10.3758/s13415-023-01092-6.Peer-Reviewed Original ResearchConceptsPerceptual decisionsSensory evidencePerceptual decision taskAssociative memory retrievalStimulus-stimulus pairingFormal model comparisonMemory reinstatementSensory inferenceMemory retrievalDecision taskSensory informationMemoryParticipants' responsesAccurate decisionsPattern analysisSpecific contentParticipantsRelative reliabilityExpectationsModel comparisonDynamic inferenceCuesReinstatementTaskImage streamPerception and memory retrieval states are reflected in distributed patterns of background functional connectivity
Li Y, Wang Y, Turk-Browne N, Kuhl B, Hutchinson J. Perception and memory retrieval states are reflected in distributed patterns of background functional connectivity. NeuroImage 2023, 276: 120221. PMID: 37290674, PMCID: PMC10484747, DOI: 10.1016/j.neuroimage.2023.120221.Peer-Reviewed Original ResearchConceptsDefault mode networkMemory retrievalCognitive stateRetrieval statesRetrosplenial cortexFunctional connectivityDistinct neural statesTarget of perceptionLarge-scale brain networksControl networkHuman neuroimaging studiesSame visual inputPerception statesCognitive processingBackground connectivityHuman fMRIVisual stimuliNeuroimaging studiesBrain networksMode networkNeural statesVisual inputNeural activityPatterns of connectivityPerceptionNeural signatures of second language proficiency in narrative processing
Zhang R, Wang J, Lin H, Turk-Browne N, Cai Q. Neural signatures of second language proficiency in narrative processing. Cerebral Cortex 2023, 33: 8477-8484. PMID: 37100085, DOI: 10.1093/cercor/bhad133.Peer-Reviewed Original ResearchConceptsSecond language proficiencyHigh second-language proficiencyProficiency levelsCore language networkCognitive control networkLateral prefrontal cortexSense of speechSemantic processing areasDefault mode networkDifferent proficiency levelsNeural signaturesNarrative comprehensionNarrative processingLanguage tasksNeural processingIntersubject synchronizationProcessing demandsLanguage networkBehavioral performanceNaturalistic languageProficient participantsSecond languageBrain activityMode networkPrefrontal cortexAutomated and manual segmentation of the hippocampus in human infants
Fel J, Ellis C, Turk-Browne N. Automated and manual segmentation of the hippocampus in human infants. Developmental Cognitive Neuroscience 2023, 60: 101203. PMID: 36791555, PMCID: PMC9957787, DOI: 10.1016/j.dcn.2023.101203.Peer-Reviewed Original ResearchConceptsManual segmentationHippocampal segmentationInter-rater reliabilityAutomated SegmentationSegmentation methodSegmentationAnatomical MRI scansEarly hippocampal developmentHead motionFreeSurfer softwareSoftwareHippocampal developmentMRI scansHippocampal structureAwake infantsInfantsHippocampusFMRI protocolAnatomical scansGold standardAdult templateHuman infantsScan qualityScansProtocol
2022
Face processing in the infant brain after pandemic lockdown
Yates T, Ellis C, Turk‐Browne N. Face processing in the infant brain after pandemic lockdown. Developmental Psychobiology 2022, 65: e22346. PMID: 36567649, PMCID: PMC9877889, DOI: 10.1002/dev.22346.Peer-Reviewed Original ResearchConceptsFusiform face areaVisual experienceInfant brainDifferent face identitiesGreater neural activityPost-lockdown groupFace processingRepetition enhancementFace identityRepetition suppressionSuppression taskFace areaNeural activitySame identityDifferent identitiesSerendipitous studyFFA responseFacePandemic lockdownCOVID-19 pandemicFMRIQuantity/qualityInfantsExperienceIdentityTemporal Dynamics of Competition between Statistical Learning and Episodic Memory in Intracranial Recordings of Human Visual Cortex
Sherman B, Graves K, Huberdeau D, Quraishi I, Damisah E, Turk-Browne N. Temporal Dynamics of Competition between Statistical Learning and Episodic Memory in Intracranial Recordings of Human Visual Cortex. Journal Of Neuroscience 2022, 42: 9053-9068. PMID: 36344264, PMCID: PMC9732826, DOI: 10.1523/jneurosci.0708-22.2022.Peer-Reviewed Original ResearchConceptsVisual cortexStatistical learningIntracranial recordingsStatistical learning taskBehavioural Memory TestMultivariate pattern analysisLong-term memoryExpense of memoryEncoding of informationHuman visual cortexStorage of experienceNew experiencesEpisodic memoryMemory researchMemory testFrequency taggingRapid streamGuide behaviorLearning taskNew predictive relationshipNeural predictionHuman intracranial EEGWeak expectationsNeural activityMemory formationNeural event segmentation of continuous experience in human infants
Yates T, Skalaban L, Ellis C, Bracher A, Baldassano C, Turk-Browne N. Neural event segmentation of continuous experience in human infants. Proceedings Of The National Academy Of Sciences Of The United States Of America 2022, 119: e2200257119. PMID: 36252007, PMCID: PMC9618143, DOI: 10.1073/pnas.2200257119.Peer-Reviewed Original ResearchConceptsEarly visual regionsEvent segmentationVisual regionsAdults' brain activityContinuous sensory inputFunctional MRI dataEvent cognitionNaturalistic perceptionBehavioral judgmentsInfants' segmentationEvent boundariesNeural patternsBrain activitySensory regionsContinuous experienceSimplified taskInfant brainHuman infantsAssociative regionsSensory inputTemporal integrationAwake infantsBrain regionsAdult experienceTemporal precisionRemembering the pattern: A longitudinal case study on statistical learning in spatial navigation and memory consolidation
Graves KN, Sherman BE, Huberdeau D, Damisah E, Quraishi IH, Turk-Browne NB. Remembering the pattern: A longitudinal case study on statistical learning in spatial navigation and memory consolidation. Neuropsychologia 2022, 174: 108341. PMID: 35961387, PMCID: PMC9578695, DOI: 10.1016/j.neuropsychologia.2022.108341.Peer-Reviewed Original ResearchConceptsMedial prefrontal cortexStatistical learningSpatial navigationBrain systemsDistinct brain systemsIntracranial electroencephalographyOffline consolidationPerceptual experienceCortical consolidationMemory consolidationPrefrontal cortexCortical regionsFuture behaviorLearningLongitudinal case studySame patientHippocampusConsolidationProlonged retentionRapid acquisitionWeeksElectroencephalographyCortexDifferent timescalesRegularitySpatial 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 subjectsRT-Cloud: A cloud-based software framework to simplify and standardize real-time fMRI
Wallace G, Polcyn S, Brooks P, Mennen A, Zhao K, Scotti P, Michelmann S, Li K, Turk-Browne N, Cohen J, Norman K. RT-Cloud: A cloud-based software framework to simplify and standardize real-time fMRI. NeuroImage 2022, 257: 119295. PMID: 35580808, PMCID: PMC9494277, DOI: 10.1016/j.neuroimage.2022.119295.Peer-Reviewed Original ResearchConceptsCloud computingOpen-source Python software packageHigh-performance computingStandardized data formatsBrain Imaging Data Structure (BIDS) standardPython software packageData structure standardsSoftware frameworkOpen standardsData formatLack of standardsHardware requirementsComputingReal timeSoftware packageOpen scienceReal-time fMRIScalabilityTechnical expertiseExecutionDeploymentApplicationsStructure standardsComplexityFormatBrain charts for the human lifespan
Bethlehem RAI, Seidlitz J, White SR, Vogel JW, Anderson KM, Adamson C, Adler S, Alexopoulos GS, Anagnostou E, Areces-Gonzalez A, Astle DE, Auyeung B, Ayub M, Bae J, Ball G, Baron-Cohen S, Beare R, Bedford SA, Benegal V, Beyer F, Blangero J, Blesa Cábez M, Boardman JP, Borzage M, Bosch-Bayard JF, Bourke N, Calhoun VD, Chakravarty MM, Chen C, Chertavian C, Chetelat G, Chong YS, Cole JH, Corvin A, Costantino M, Courchesne E, Crivello F, Cropley VL, Crosbie J, Crossley N, Delarue M, Delorme R, Desrivieres S, Devenyi GA, Di Biase MA, Dolan R, Donald KA, Donohoe G, Dunlop K, Edwards AD, Elison JT, Ellis CT, Elman JA, Eyler L, Fair DA, Feczko E, Fletcher PC, Fonagy P, Franz CE, Galan-Garcia L, Gholipour A, Giedd J, Gilmore JH, Glahn DC, Goodyer IM, Grant PE, Groenewold NA, Gunning FM, Gur RE, Gur RC, Hammill CF, Hansson O, Hedden T, Heinz A, Henson RN, Heuer K, Hoare J, Holla B, Holmes AJ, Holt R, Huang H, Im K, Ipser J, Jack CR, Jackowski AP, Jia T, Johnson KA, Jones PB, Jones DT, Kahn RS, Karlsson H, Karlsson L, Kawashima R, Kelley EA, Kern S, Kim KW, Kitzbichler MG, Kremen WS, Lalonde F, Landeau B, Lee S, Lerch J, Lewis JD, Li J, Liao W, Liston C, Lombardo MV, Lv J, Lynch C, Mallard TT, Marcelis M, Markello RD, Mathias SR, Mazoyer B, McGuire P, Meaney MJ, Mechelli A, Medic N, Misic B, Morgan SE, Mothersill D, Nigg J, Ong MQW, Ortinau C, Ossenkoppele R, Ouyang M, Palaniyappan L, Paly L, Pan PM, Pantelis C, Park MM, Paus T, Pausova Z, Paz-Linares D, Pichet Binette A, Pierce K, Qian X, Qiu J, Qiu A, Raznahan A, Rittman T, Rodrigue A, Rollins CK, Romero-Garcia R, Ronan L, Rosenberg MD, Rowitch DH, Salum GA, Satterthwaite TD, Schaare HL, Schachar RJ, Schultz AP, Schumann G, Schöll M, Sharp D, Shinohara RT, Skoog I, Smyser CD, Sperling RA, Stein DJ, Stolicyn A, Suckling J, Sullivan G, Taki Y, Thyreau B, Toro R, Traut N, Tsvetanov KA, Turk-Browne NB, Tuulari JJ, Tzourio C, Vachon-Presseau É, Valdes-Sosa MJ, Valdes-Sosa PA, Valk SL, van Amelsvoort T, Vandekar SN, Vasung L, Victoria LW, Villeneuve S, Villringer A, Vértes PE, Wagstyl K, Wang YS, Warfield SK, Warrier V, Westman E, Westwater ML, Whalley HC, Witte AV, Yang N, Yeo B, Yun H, Zalesky A, Zar HJ, Zettergren A, Zhou JH, Ziauddeen H, Zugman A, Zuo XN, Bullmore E, Alexander-Bloch A. Brain charts for the human lifespan. Nature 2022, 604: 525-533. PMID: 35388223, PMCID: PMC9021021, DOI: 10.1038/s41586-022-04554-y.Peer-Reviewed Original ResearchRevisiting 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 findingsLearningIncreasing stimulus similarity drives nonmonotonic representational change in hippocampus
Wammes J, Norman KA, Turk-Browne N. Increasing stimulus similarity drives nonmonotonic representational change in hippocampus. ELife 2022, 11: e68344. PMID: 34989336, PMCID: PMC8735866, DOI: 10.7554/elife.68344.Peer-Reviewed Original ResearchConceptsRepresentational changeHigh-level visual regionsShaped functionPairs of stimuliHigh-resolution fMRIStimulus similarityVisual regionsHuman participantsHippocampal learningMemoryPlasticity hypothesisCoactivationFMRIHippocampusGyrusStimuliWide enough rangeContradictory resultsParticipantsImage similarityLearningHypothesisU-shapeSimilar imagesEnough range