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 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 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 predictionsThe representational dynamics of visual expectations in the brain
Caplette L, Kurumisawa T, Borges H, Cortes-Briones J, Turk-Browne N. The representational dynamics of visual expectations in the brain. Journal Of Vision 2024, 24: 1362. DOI: 10.1167/jov.24.10.1362.Peer-Reviewed Original ResearchAcute Stress Effects on Statistical Learning and Episodic Memory
Sherman B, Huang I, Wijaya E, Turk-Browne N, Goldfarb E. Acute Stress Effects on Statistical Learning and Episodic Memory. Journal Of Cognitive Neuroscience 2024, 36: 1741-1759. PMID: 38713878, PMCID: PMC11223726, DOI: 10.1162/jocn_a_02178.Peer-Reviewed Original ResearchEpisodic memoryAcute stressStatistical learningEffects of acute stressStress-induced cortisol levelsImpaired episodic memoryModulate learning processesAcute stress effectsImpact hippocampal functionEpisodic encodingRodent workEvidence of learningHippocampal functionStress effectsHippocampal pathwaysLearning tasksBehavioral experimentsPreliminary evidenceCortisol levelsNo stressMemoryMultiple measuresHippocampusScene categoriesParticipantsAttention and Memory
Sherman B, Turk-Browne N. Attention and Memory. 2024, 587-613. DOI: 10.1093/oxfordhb/9780190917982.013.21.Peer-Reviewed Original ResearchControl of attentionWorking memoryBrain systemsEpisodic memoryMemory encodingAttentional selectionConscious awarenessAbstract AttentionComplex sensory inputMemoryBehavioral mechanismsSensory inputPervasive roleDownstream consequencesBidirectional interactionsPerceptionModulation processAttentionHuman perceptionMindfulnessBrainVigilanceCurrent environmentEncodingRetrievalComputational 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 methodInfantsElectroencephalographySystematic 1 Hz direct electrical stimulation for seizure induction: A reliable method for localizing seizure onset zone and predicting seizure freedom
Sivaraju A, Quraishi I, Collins E, McGrath H, Ramos A, Turk-Browne N, Zaveri H, Damisah E, Spencer D, Hirsch L. Systematic 1 Hz direct electrical stimulation for seizure induction: A reliable method for localizing seizure onset zone and predicting seizure freedom. Brain Stimulation 2024, 17: 339-345. PMID: 38490472, DOI: 10.1016/j.brs.2024.03.011.Peer-Reviewed Original ResearchSeizure inductionSeizure onset zoneSurgical outcomesHabitual seizuresOnset zonePredicting seizure freedomExcellent surgical outcomesProspective cohort studyMann-Whitney testConsecutive patientsFisher's exactSeizure freedomRefractory epilepsyCohort studyPost-surgeryInsular regionsMann-WhitneyPatientsIntracranial EEGSeizuresLocalizing seizure onset zonesStimulationElectrical stimulationMedial temporal regionsTemporal regionsStatistical learning in epilepsy: Behavioral and anatomical mechanisms in the human brain
Aljishi A, Sherman B, Huberdeau D, Obaid S, Khan K, Lamsam L, Zibly Z, Sivaraju A, Turk‐Browne N, Damisah E. Statistical learning in epilepsy: Behavioral and anatomical mechanisms in the human brain. Epilepsia 2024, 65: 753-765. PMID: 38116686, PMCID: PMC10948305, DOI: 10.1111/epi.17871.Peer-Reviewed Original Research
2023
Perceptual Learning: Policy Insights From Basic Research to Real-World Applications
Seitz A, Sekuler A, Dosher B, Wright B, Huang C, Green C, Pack C, Sagi D, Levi D, Tadin D, Quinlan E, Jiang F, Diaz G, Ghose G, Fiser J, Banai K, Visscher K, Huxlin K, Shams L, Battelli L, Carrasco M, Herzog M, Webster M, Eckstein M, Turk-Browne N, Censor N, De Weerd P, Vogels R, Hochstein S, Watanabe T, Sasaki Y, Polat U, Lu Z, Kourtzi Z. Perceptual Learning: Policy Insights From Basic Research to Real-World Applications. Policy Insights From The Behavioral And Brain Sciences 2023, 10: 324-332. DOI: 10.1177/23727322231195268.Commentaries, Editorials and LettersHippocampal 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 ResearchMultiple 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 typesAssociative 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 cortexMulti-view manifold learning of human brain-state trajectories
Busch E, Huang J, Benz A, Wallenstein T, Lajoie G, Wolf G, Krishnaswamy S, Turk-Browne N. Multi-view manifold learning of human brain-state trajectories. Nature Computational Science 2023, 3: 240-253. PMID: 37693659, PMCID: PMC10487346, DOI: 10.1038/s43588-023-00419-0.Peer-Reviewed Original ResearchImpaired visuo-spatial statistical learning with mathematical learning difficulties
Levy S, Turk-Browne N, Goldfarb L. Impaired visuo-spatial statistical learning with mathematical learning difficulties. Visual Cognition 2023, 31: 138-148. DOI: 10.1080/13506285.2023.2208887.Peer-Reviewed Original ResearchMathematical learning difficultiesStatistical learningNumerical difficultiesNumerical systemMLD groupLearning difficultiesStatistical learning taskVisual discrimination taskArray of objectsCognitive processingDiscrimination taskRegularityLearning taskRepeated experienceProcessing mechanismsBehavioral challengesFemale participantsPrevious findingsCurrent studyLearningObserverTaskControl group