2024
Infant 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
Neural 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 cortex
2022
Neural 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 precision
2020
Searching through functional space reveals distributed visual, auditory, and semantic coding in the human brain
Kumar S, Ellis CT, O’Connell T, Chun MM, Turk-Browne NB. Searching through functional space reveals distributed visual, auditory, and semantic coding in the human brain. PLOS Computational Biology 2020, 16: e1008457. PMID: 33270655, PMCID: PMC7738169, DOI: 10.1371/journal.pcbi.1008457.Peer-Reviewed Original ResearchConceptsBrain functionHuman brainHuman brain functionLanguage processing modelsNatural language processing modelsSearchlight analysisSearchlight approachSemantic codingObject representationsAuditory featuresBrain activityStrict modularityDecoding accuracyProcessing modelFMRI techniquesFMRI methodsAtlas parcellationCluster correctionComputational modelSemantic featuresDeep neural networksFoundational questionsAnatomical biasLocalized representationSearchlightContent-based Dissociation of Hippocampal Involvement in Prediction
Kok P, Rait LI, Turk-Browne NB. Content-based Dissociation of Hippocampal Involvement in Prediction. Journal Of Cognitive Neuroscience 2020, 32: 527-545. PMID: 31820676, PMCID: PMC6996939, DOI: 10.1162/jocn_a_01509.Peer-Reviewed Original ResearchConceptsPredictive processingAbstract shapesDomain-general processesFemale human participantsComplexity of stimuliComplex visual objectsModality of stimuliTypes of stimuliHigh-resolution fMRIDomain-specific rolesAuditory cuesPartial cuesVisual objectsHippocampal involvementBrain activityHuman participantsDistinct representationsHippocampal responsesComputational roleHippocampal functionPrevious researchStimuliCuesUnexpected orientationSuch accounts
2018
Capturing Shared and Individual Information in fMRI Data
Turek J, Ellis C, Skalaban L, Turk-Browne N, Willke T. Capturing Shared and Individual Information in fMRI Data. 2018, 00: 826-830. DOI: 10.1109/icassp.2018.8462175.Peer-Reviewed Original Research