2017
Decoding the infant mind: Multivariate pattern analysis (MVPA) using fNIRS
Emberson LL, Zinszer BD, Raizada RDS, Aslin RN. Decoding the infant mind: Multivariate pattern analysis (MVPA) using fNIRS. PLOS ONE 2017, 12: e0172500. PMID: 28426802, PMCID: PMC5398514, DOI: 10.1371/journal.pone.0172500.Peer-Reviewed Original ResearchConceptsMultivariate pattern analysisInfant mindPattern analysisFMRI workCognitive neuroscientistsSame physiological signalsNeural activationAnalytic sophisticationFNIRS communityIdiosyncratic patternsFNIRSPhysiological signalsBetter spatial localizationTaskTrial patternsGroup modelMindCurrent paperFMRIType of populationMethodological toolsAverage patternSpatial localizationNeuroscientistsMRI environment
2003
Bayesian integration of visual and auditory signals for spatial localization.
Battaglia P, Jacobs R, Aslin R. Bayesian integration of visual and auditory signals for spatial localization. Journal Of The Optical Society Of America A 2003, 20: 1391-7. PMID: 12868643, DOI: 10.1364/josaa.20.001391.Peer-Reviewed Original ResearchConceptsAuditory informationSensory signalsPerceptual judgmentsCue integrationAuditory signalsMultimodal informationHuman observersNeural plasticityRelative reliabilityBayesian integrationSpatial locationMultiple modalitiesJudgmentsSpatial localizationImportant implicationsOverall biasSignal reliabilityTheoryImplicationsAdult brainInformationBiasObserverBrainIntegration