Michael Grubb
Assistant Professor AdjunctCards
About
Research
Publications
2025
Information-driven attentional capture
Doyle A, Volkova K, Crotty N, Massa N, Grubb M. Information-driven attentional capture. Attention, Perception, & Psychophysics 2025, 1-7. PMID: 39971884, DOI: 10.3758/s13414-024-03008-z.Peer-Reviewed Original ResearchExperience-driven attentionTask-irrelevantAttentional captureReward prediction error hypothesisAbsence of monetary rewardReward prediction errorNon-salient stimuliAllocation of attentionReward associationsNeural signaturesAttentional differencesPre-cueMonetary rewardsBehavioral costsVisual attentionDistractorsEye movementsExperimental manipulationInternational goalsError hypothesisSensory informationEmpirical workResponse timeHypothesisRewardA preliminary investigation of the interaction between expectation and the reflexive allocation of covert spatial attention
Crotty N, Massa N, Tellez D, White A, Grubb M. A preliminary investigation of the interaction between expectation and the reflexive allocation of covert spatial attention. Scientific Reports 2025, 15: 5778. PMID: 39962116, PMCID: PMC11833114, DOI: 10.1038/s41598-025-89845-w.Peer-Reviewed Original ResearchConceptsExogenous spatial attentionSpeed-accuracy tradeoffSpatial attentionCue presenceExogenous cuesNon-target stimuliCovert spatial attentionBehavioral effectsCueing effectsReflexive shiftsSpeed-accuracyOnline studyVisual peripheryCuesVisual targetImplicit knowledgeStimuliVisual informationTemporal dynamicsParticipantsAttentionExpectationsImplicit
2024
Individual differences in information demand have a low dimensional structure predicted by some curiosity traits
Jach H, Cools R, Frisvold A, Grubb M, Hartley C, Hartmann J, Hunter L, Jia R, de Lange F, Larisch R, Lavelle-Hill R, Levy I, Li Y, van Lieshout L, Nussenbaum K, Ravaioli S, Wang S, Wilson R, Woodford M, Murayama K, Gottlieb J. Individual differences in information demand have a low dimensional structure predicted by some curiosity traits. Proceedings Of The National Academy Of Sciences Of The United States Of America 2024, 121: e2415236121. PMID: 39467138, PMCID: PMC11551435, DOI: 10.1073/pnas.2415236121.Peer-Reviewed Original ResearchConceptsCognitive tasksPersonality trait measuresTraits of opennessCuriosity traitsPersonality psychologyEmotional processingPersonality measuresPersonality traitsTrait measuresAssociated with curiosityCuriosity measuresIndividual differencesTested multiple aspectsJoyous explorationCognitive scienceDeprivation sensitivityHuman learningPersonsTraitsTaskDimensional structureInformation demandPersonality metricsMultiple aspectsPsychologyDeep Learning and visual search: Using raw eye movement data, convolutional neural networks generate target-location predictions in line with experimental manipulations
Crotty N, Massa N, Grubb M. Deep Learning and visual search: Using raw eye movement data, convolutional neural networks generate target-location predictions in line with experimental manipulations. Journal Of Vision 2024, 24: 951. DOI: 10.1167/jov.24.10.951.Peer-Reviewed Original ResearchManipulating the reliability of target-color information modulates value-driven attentional capture
Massa N, Crotty N, Levy I, Grubb M. Manipulating the reliability of target-color information modulates value-driven attentional capture. Attention, Perception, & Psychophysics 2024, 86: 1108-1119. PMID: 38538947, PMCID: PMC11093855, DOI: 10.3758/s13414-024-02878-7.Peer-Reviewed Original Research
2019
Does a history of involuntary selection generate attentional biases?
Grubb M, Albanese J, Christensen G. Does a history of involuntary selection generate attentional biases? Journal Of Vision 2019, 19: 266a. DOI: 10.1167/19.10.266a.Peer-Reviewed Original Research
2018
Associative learning accelerates the temporal dynamics of covert exogenous spatial attention
Grubb M, Butler D. Associative learning accelerates the temporal dynamics of covert exogenous spatial attention. Journal Of Vision 2018, 18: 1258. DOI: 10.1167/18.10.1258.Peer-Reviewed Original Research