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 aspectsPsychologyAffective Motivations for Substance Misuse Differentially Relate to Consideration of Multiple Costs During Effortful Decision Making
Ruiz S, Levy I, Baskin-Sommers A. Affective Motivations for Substance Misuse Differentially Relate to Consideration of Multiple Costs During Effortful Decision Making. Journal Of Psychopathology And Clinical Science 2024, 133: 554-564. PMID: 39101939, DOI: 10.1037/abn0000931.Peer-Reviewed Original ResearchSubstance useEffort Expenditure for Rewards TaskEffortful decision makingDiverse community sampleReward taskNegative affectPositive affectCommunity sampleComputational model parametersDifferential relationsHeightened sensitivityAffecting motivationDecision makingAffectLoss magnitudeMotivationCost informationIndividualsSubstancesLikelihood of lossTaskMakingEffective decision makingUseMultiple costs
2017
Distributed neural representation of saliency controlled value and category during anticipation of rewards and punishments
Zhang Z, Fanning J, Ehrlich DB, Chen W, Lee D, Levy I. Distributed neural representation of saliency controlled value and category during anticipation of rewards and punishments. Nature Communications 2017, 8: 1907. PMID: 29203854, PMCID: PMC5714958, DOI: 10.1038/s41467-017-02080-4.Peer-Reviewed Original ResearchConceptsNeural representationAnticipation of rewardDecision-related informationCognitive neuroscienceOutcome anticipationValue signalsPotential confoundsCategory informationHuman brainNeural signalsSaliencyRewardValuation taskAnticipationMultiple aspectsStrong supportActivity patternsPunishmentVmPFCRepresentationNeuroscienceConfoundsExtensive literatureEncodingTask