2022
Time-resolved multivariate pattern analysis of infant EEG data: A practical tutorial
Ashton K, Zinszer BD, Cichy RM, Nelson CA, Aslin RN, Bayet L. Time-resolved multivariate pattern analysis of infant EEG data: A practical tutorial. Developmental Cognitive Neuroscience 2022, 54: 101094. PMID: 35248819, PMCID: PMC8897621, DOI: 10.1016/j.dcn.2022.101094.Peer-Reviewed Original ResearchMeSH KeywordsAdultBrainChildCognitive NeuroscienceElectroencephalographyHumansInfantMultivariate AnalysisNeuroimagingConceptsTime-resolved multivariate pattern analysisMultivariate pattern analysisInfant EEG dataEEG dataRepresentational similarity analysisRelevant stimulus dimensionCognitive neuroscienceStudy of childrenNeural representationStimulus dimensionsStudy of infantsChance accuracyStimulus imagesArtifact-free EEG dataPattern analysisCommon infantInfant neuroimagingElectro-encephalographyLinear SVM classificationSimilarity analysis
2018
Classifying the mental representation of word meaning in children with Multivariate Pattern Analysis of fNIRS
Gemignani J, Bayet L, Kabdebon C, Blankertz B, Pugh K, Aslin R. Classifying the mental representation of word meaning in children with Multivariate Pattern Analysis of fNIRS. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2018, 00: 295-298. PMID: 30440396, DOI: 10.1109/embc.2018.8512209.Peer-Reviewed Original ResearchMeSH KeywordsChildHemodynamicsHumansMultivariate AnalysisSpectroscopy, Near-InfraredSupport Vector Machine
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