2023
Multiple visual objects are represented differently in the human brain and convolutional neural networks
Mocz V, Jeong S, Chun M, Xu Y. Multiple visual objects are represented differently in the human brain and convolutional neural networks. Scientific Reports 2023, 13: 9088. PMID: 37277406, PMCID: PMC10241785, DOI: 10.1038/s41598-023-36029-z.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBrainBrain MappingHumansMacacaMagnetic Resonance ImagingNeural Networks, ComputerPattern Recognition, VisualVisual PerceptionConceptsObject representationsConvolutional neural networkMultiple visual objectsHuman brainRecurrent processingVisual objectsProcessing regionsSingle-unit levelObject pairsIT neuronsFMRI voxelsSingle objectConstituent objectsPrimate brainBrain dataNeural networkDifferent contextsResponse patternsObject classificationReal worldObjectsRepresentationUnit levelBrainSuch distortions
2022
Predicting Identity-Preserving Object Transformations in Human Posterior Parietal Cortex and Convolutional Neural Networks
Mocz V, Vaziri-Pashkam M, Chun M, Xu Y. Predicting Identity-Preserving Object Transformations in Human Posterior Parietal Cortex and Convolutional Neural Networks. Journal Of Cognitive Neuroscience 2022, 34: 2406-2435. PMID: 36122358, PMCID: PMC9988239, DOI: 10.1162/jocn_a_01916.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBrain MappingHumansMagnetic Resonance ImagingNeural Networks, ComputerParietal LobeTemporal LobeConceptsOccipito-temporal cortexPosterior parietal cortexHuman posterior parietal cortexHuman occipito-temporal cortexNon-Euclidean featuresObject identityParietal cortexConvolutional neural networkPrimate ventral visual systemSuperior intraparietal sulcusVisual object informationVentral visual systemFeature changesObject responsesIntraparietal sulcusCurrent best modelVisual systemEuclidean featuresObject informationResponse of objectsPrevious researchNeural networkObject transformationCortexObject classification