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
2011
Memory: Enduring Traces of Perceptual and Reflective Attention
Chun MM, Johnson MK. Memory: Enduring Traces of Perceptual and Reflective Attention. Neuron 2011, 72: 520-535. PMID: 22099456, PMCID: PMC3248396, DOI: 10.1016/j.neuron.2011.10.026.Peer-Reviewed Original ResearchConceptsReflective attentionInternal mental representationsCognitive neuroscienceEpisodic memoryMental representationsCognitive activityRepresentational areaMemoryControl processReflective informationExternal informationPerceptionImportant unresolved issuesCommon areasAttentionNeuroscienceFundamental typesSeparate topicsUnresolved issuesKey questionsRepresentationFindingsInformationBroad rangeExtentA Taxonomy of External and Internal Attention
Chun MM, Golomb JD, Turk-Browne NB. A Taxonomy of External and Internal Attention. Annual Review Of Psychology 2011, 62: 73-101. PMID: 19575619, DOI: 10.1146/annurev.psych.093008.100427.Peer-Reviewed Original ResearchConceptsInternal attentionExternal attentionModality-specific inputLong-term memoryTarget of attentionPerceptual attentionAttentional mechanismsCognitive operationsTask rulesSustain focusNeural mechanismsSensory informationType of informationMemoryOrganizing frameworkClassic debateAttentionBroader levelLimited capacityCore propertiesInformationSignificant problemRepresentationTaxonomyExternal
2006
The role of working memory and long-term memory in visual search
Woodman G, Chun M. The role of working memory and long-term memory in visual search. Visual Cognition 2006, 14: 808-830. DOI: 10.1080/13506280500197397.Peer-Reviewed Original ResearchLong-term memoryVisual searchLong-term memory representationsTask-relevant informationVisual search performanceAttentional deploymentAttentional selectionMemory representationsAttention mechanismMemoryCurrent theoriesSearch performanceTheoretical modelRelevant informationNew findingsRepresentationProminent treatmentCentral roleFindingsRecent studiesRoleTheory
2003
Implicit scene learning is viewpoint dependent
Chua K, Chun M. Implicit scene learning is viewpoint dependent. Attention, Perception, & Psychophysics 2003, 65: 72-80. PMID: 12699310, DOI: 10.3758/bf03194784.Peer-Reviewed Original ResearchConceptsNovel scenesScene learningContextual cuing paradigmNovel spatial contextsEveryday visual experienceScene layoutContextual cuingSearch arrayViewpoint dependenceContext learningTraining viewpointVisual experienceTarget locationScene recognitionApparent depthLearningSpatial contextCuingPast studiesSceneRepresentationTask
1997
Seeing Two as One: Linking Apparent Motion and Repetition Blindness
Chun M, Cavanagh P. Seeing Two as One: Linking Apparent Motion and Repetition Blindness. Psychological Science 1997, 8: 74-79. DOI: 10.1111/j.1467-9280.1997.tb00686.x.Peer-Reviewed Original ResearchApparent motion streamRepetition blindnessObject tokensApparent motionMotion streamMemory retrieval accountUnrepeated itemsRetrieval accountVisual eventsComputer screenVisual phenomenaVisual representationMultiple tokensAlphanumeric charactersTokensItemsPresent studyMultiple instancesOpposite directionFunctional linkRepresentationObjectsViewersDisplayAbility