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: 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 ResearchMeSH KeywordsAdultBehaviorCognitionFemaleHumansMaleNeural Networks, ComputerPhotic StimulationSemanticsVisual PerceptionYoung AdultConceptsMental representationsGoal of cognitive scienceVisual featuresNeural networkMultiple visual conceptsDeep neural networksConceptual representationCognitive scienceVisual conceptsSemantic spaceSemantic featuresHuman behaviorParticipantsNetworkRepresentationStimuliBehaviorFeaturesImagesComputer reconstructionTask
2017
Complementary learning systems within the hippocampus: a neural network modelling approach to reconciling episodic memory with statistical learning
Schapiro AC, Turk-Browne NB, Botvinick MM, Norman KA. Complementary learning systems within the hippocampus: a neural network modelling approach to reconciling episodic memory with statistical learning. Philosophical Transactions Of The Royal Society B Biological Sciences 2017, 372: 20160049. PMID: 27872368, PMCID: PMC5124075, DOI: 10.1098/rstb.2016.0049.Peer-Reviewed Original ResearchConceptsStatistical learningRapid learningComplementary learning systems theoryComplementary learning systemsSequence of itemsEpisodic memoryIndividual episodesCognitive scienceAssociative reactivationTemporal regularityApparent representationIndividual experiencesNeural network modelling approachNeural network modelLearningLearning systemAnatomical pathwaysHippocampusSystems theoryHippocampal projectionsRegion CA1MemoryNetwork modelMemorizationExperience
2013
Neural 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