2016
Learning and inference using complex generative models in a spatial localization task
Bejjanki VR, Knill DC, Aslin RN. Learning and inference using complex generative models in a spatial localization task. Journal Of Vision 2016, 16: 9-9. PMID: 26967015, PMCID: PMC4790422, DOI: 10.1167/16.5.9.Peer-Reviewed Original ResearchConceptsBayes-optimal behaviorUncertain sensory informationSensory informationNatural tasksLocalization taskBayes-optimal integrationBayes-optimal mannerSpatial localization taskSimple task conditionsGenerative modelSimple taskComplex generative modelsTask conditionsHuman performanceTrial basisHuman observersTaskPrior integrationParticipantsLarge bodyObserverPrior knowledgeTouch screenVarianceBehavior
2014
Learning bundles of stimuli renders stimulus order as a cue, not a confound
Qian T, Aslin RN. Learning bundles of stimuli renders stimulus order as a cue, not a confound. Proceedings Of The National Academy Of Sciences Of The United States Of America 2014, 111: 14400-14405. PMID: 25246587, PMCID: PMC4210001, DOI: 10.1073/pnas.1416109111.Peer-Reviewed Original ResearchConceptsStimulus orderCognitive phenomenaTask domainTask environmentConsecutive stimuliInfluence behaviorImportant cueCuesCognitionPrevious accountsNormative theoryStimuliBasketball gamesLatent clustersExplanatory powerUnderlying structureConfoundsPerceptionBundle representationsBehaviorPeopleGameRepresentationPerspectiveTheoryRich analysis and rational models: inferring individual behavior from infant looking data
Piantadosi ST, Kidd C, Aslin R. Rich analysis and rational models: inferring individual behavior from infant looking data. Developmental Science 2014, 17: 321-337. PMID: 24750256, PMCID: PMC3996510, DOI: 10.1111/desc.12083.Peer-Reviewed Original ResearchConceptsCognitive modelInfant attentionBayesian data analysis approachStimulus complexityCognitive developmentStudy of infantsDependent measuresModel beliefsStatistical learning modelsIndividual behaviorIndividual infantsProbabilistic expectationsLearning modelBeliefsRational modelAttentionAslinRecent findingsRich analysisAnalytic techniquesStimuliData analysis approachBehaviorAnalysis approachInfants
2013
Combining fMRI and behavioral measures to examine the process of human learning
Karuza EA, Emberson LL, Aslin RN. Combining fMRI and behavioral measures to examine the process of human learning. Neurobiology Of Learning And Memory 2013, 109: 193-206. PMID: 24076012, PMCID: PMC3963805, DOI: 10.1016/j.nlm.2013.09.012.Peer-Reviewed Original Research
1980
Assessment of stereopsis in human infants.
Shea S, Fox R, Aslin R, Dumais S. Assessment of stereopsis in human infants. Investigative Ophthalmology & Visual Science 1980, 19: 1400-4. PMID: 7429778.Peer-Reviewed Original ResearchConceptsForced-choice judgmentsDynamic random-element stereogramsAssessment of stereopsisRandom-element stereogramsVisual attentionChance levelInfant behaviorHuman infantsColor television monitorIndividual infantsStereopsisBinocular anomaliesAge groupsBinocular functionObserver performanceEarly assessmentStereogramsJudgmentsInfantsBehaviorStrong evidenceAttentionPerformanceObserver