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 ResearchConceptsOccipito-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
2005
Attentional Modulation of Learning-Related Repetition Attenuation Effects in Human Parahippocampal Cortex
Yi D, Chun M. Attentional Modulation of Learning-Related Repetition Attenuation Effects in Human Parahippocampal Cortex. Journal Of Neuroscience 2005, 25: 3593-3600. PMID: 15814790, PMCID: PMC6725381, DOI: 10.1523/jneurosci.4677-04.2005.Peer-Reviewed Original ResearchConceptsFunctional magnetic resonance imagingVisual informationNeural activityHuman parahippocampal cortexLearning-related changesParahippocampal place areaImportant issue concernsRepetition attenuationPerceptual processingPerceptual stimuliAttentional modulationPerceptual inputInitial encodingPerceptual experienceRepetition suppressionTask demandsMemory tracesPlace areaNovel stimuliAdaptation effectsParahippocampal cortexNeural circuitryBiological visionVisual systemAdaptive balance
2003
Inhibition of return to occluded objects
Yi D, Kim M, Chun M. Inhibition of return to occluded objects. Attention, Perception, & Psychophysics 2003, 65: 1222-1230. PMID: 14710957, DOI: 10.3758/bf03194847.Peer-Reviewed Original Research
1999
Top-Down Attentional Guidance Based on Implicit Learning of Visual Covariation
Chun M, Jiang Y. Top-Down Attentional Guidance Based on Implicit Learning of Visual Covariation. Psychological Science 1999, 10: 360-365. DOI: 10.1111/1467-9280.00168.Peer-Reviewed Original ResearchImplicit learningObject recognitionVisual environmentNovel visual shapesDynamic visual environmentsComplex informational structureAttentional guidanceMemory representationsVisual learningVisual shapesVisual processesVisual worldVisual knowledgeVisual systemInformational structureSecond experimentFirst experimentSearch behaviorLearningInformation overloadForm of redundancyPerceiversRecognitionCovariationNew evidence
1998
Vision and attention: the role of training
Joseph J, Chun M, Nakayama K. Vision and attention: the role of training. Nature 1998, 393: 425-425. DOI: 10.1038/30878.Peer-Reviewed Original Research
1997
Attentional requirements in a ‘preattentive’ feature search task
Joseph J, Chun M, Nakayama K. Attentional requirements in a ‘preattentive’ feature search task. Nature 1997, 387: 805-807. PMID: 9194560, DOI: 10.1038/42940.Peer-Reviewed Original ResearchConceptsRapid serial visual presentation taskVisual presentation taskFeature search taskNumber of distractorsSet-size functionReaction timeAttentional resourcesAttentional requirementsDistractor itemsPresentation taskLetter identificationVisual searchSearch taskVisual systemFeature differencesSimple featuresTaskPreattentiveDistractorsDetection of differencesUnlimited capacityPerceptionItemsCertain featuresAttention