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
2011
Cue Integration in Categorical Tasks: Insights from Audio-Visual Speech Perception
Bejjanki VR, Clayards M, Knill DC, Aslin RN. Cue Integration in Categorical Tasks: Insights from Audio-Visual Speech Perception. PLOS ONE 2011, 6: e19812. PMID: 21637344, PMCID: PMC3102664, DOI: 10.1371/journal.pone.0019812.Peer-Reviewed Original ResearchConceptsCue integrationCue weightsPerceptual dimensionsSensory uncertaintyCategorical taskAudio-visual speech perceptionBayes-optimal observerSpeech perception tasksNormative modelPhonemic categorizationSensory reliabilityPerception taskSpeech perceptionVisual modalityComputational principlesHuman performanceSensory varianceParticipants' performanceVisual cuesTrial basisPhonemic labelingCategory variabilityCuesSensory variabilityTask
2008
Bayesian learning of visual chunks by human observers
Orbán G, Fiser J, Aslin RN, Lengyel M. Bayesian learning of visual chunks by human observers. Proceedings Of The National Academy Of Sciences Of The United States Of America 2008, 105: 2745-2750. PMID: 18268353, PMCID: PMC2268207, DOI: 10.1073/pnas.0708424105.Peer-Reviewed Original ResearchConceptsComplex visual patternsChunks of informationPair-wise statisticsVisual chunksPrevious empirical findingsIdeal learnerHuman performanceVisual sceneBayesian model comparisonLearning mechanismVisual patternsHuman observersCorrelational structureLow-level featuresKey predictionsEmpirical findingsBayesian learningLearningLearnersChunksHuman patternModel comparisonRelevant informationEconomical representationExemplars