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 ResearchConceptsObject 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
2012
Single-object consistency facilitates multisensory pair learning: Evidence for unitization
Barenholtz E, Lewkowicz D, Kogelschatz L. Single-object consistency facilitates multisensory pair learning: Evidence for unitization. Multisensory Research 2012, 25: 11-11. DOI: 10.1163/187847612x646343.Peer-Reviewed Original ResearchAssociative learningSpecialized learning mechanismsSingle objectMultisensory propertiesMultisensory attributesIncongruent pairsSuperior learningTemporal synchronyExperiment 3Animal picturesExperiment 1Experiment 2Alternative cuesHuman faceLearning mechanismPair learningSingle representationLearningFaceObjectsCuesUnitizationSimilar advantagesVocalizationsVoice
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