Nick Turk-Browne, PhD
Professor of Psychology and in the Child Study Center and of Neurosurgery and of Psychiatry and Director of the Wu Tsai InstituteCards
About
Research
Publications
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
Clinical Trials
Current Trials
Brain Imaging Study of Affect and Learning
HIC ID2000030825RolePrincipal InvestigatorPrimary Completion Date07/31/2024Recruiting Participants
News & Links
News
- May 10, 2024
Autism conference at Yale highlights latest research & clinical advances
- June 27, 2022
Two Yale School of Public Health professors appointed to Wu Tsai Institute at Yale
- March 17, 2021Source: YaleNews
Babies Pay Attention with Down Payment from Immature Brain Region
- December 15, 2019
Kavli Workshop on Jan. 8: "Current Perspectives on the Generation and Analysis of Complex Data in Neuroscience"