Maxwell Shinn
Research
Publications
2026
Learning Decouples Accuracy and Reaction Time for Rapid Decisions in a Transitive Inference Task
Munoz F, Jensen G, Shinn M, Alkan Y, Murray J, Terrace H, Ferrera V. Learning Decouples Accuracy and Reaction Time for Rapid Decisions in a Transitive Inference Task. Journal Of Cognitive Neuroscience 2026, 38: 1196-1213. PMID: 41468119, PMCID: PMC12854202, DOI: 10.1162/jocn.a.2425.Peer-Reviewed Original Researchtransitive inferencesymbolic distance effecttransitive inference tasktransfer taskinternal representationevidence accumulation ratessaccadic eye movementsnondecision timebehavioral sessioncognitive domainsbehavioral performancecognitive processesRT datadrift-diffusion modelordinal distancedistance effectresponse timeeye movementsmacaque monkeysinference tasksreaction timerelational learningmodel fitlist structuretaskMapping the visual cortex with Zebra noise and wavelets
Skriabine S, Shinn M, Picard S, Harris K, Carandini M. Mapping the visual cortex with Zebra noise and wavelets. Journal Of Vision 2026, 26: 1. PMID: 41533894, PMCID: PMC12782197, DOI: 10.1167/jov.26.1.1.Peer-Reviewed Original ResearchConceptswavelet-based modelsmultiple stimulus featuresvisual featuresvisual cortexearly visual systemtwo-photon calcium imagingmouse visual cortexvisual representationvisual systemstudy of visual functionactivity of neuronswaveletpopulations of neuronsneuronal tuningnoisevisual functiondrift ratecalcium imagingvisual preferencenoise stimulivisual areasdynamic stimulineuronsstimulus featuresspatial frequency
2025
Temporal and Spatial Scales of Human Resting-State Cortical Activity across the Lifespan
Bero J, Humphries C, Li Y, Kumar A, Lee H, Shinn M, Murray J, Vickery T, Lee D. Temporal and Spatial Scales of Human Resting-State Cortical Activity across the Lifespan. Journal Of Neuroscience 2025, 46: e0577252025. PMID: 41249059, PMCID: PMC12809662, DOI: 10.1523/jneurosci.0577-25.2025.Peer-Reviewed Original Researchfunctional magnetic resonance imagingresting-state cortical activitycortical myelinationcortical activitycortical networkstemporal dynamics of neural activityresting-state fMRI dataresting-state fMRI signalsfunctional magnetic resonance imaging signalsdynamics of neural activityrate of age-related changesproperties of cortical networksfunctional connectivity networksHuman Connectome Projectprefrontal cortexprefrontal regionslimbic networkcognitive abilitiesage-related changesfMRI datacortical regionsneural activityfMRI signalsspatial scalesadult human brainHow people decide to consume (more) alcohol when feeling stressed
Dora J, Shinn M, Copeland A, Neilson E, Weiss N, Witkiewitz K, Murphy J, Field M, George W, King K. How people decide to consume (more) alcohol when feeling stressed. Addiction 2025, 121: 370-387. PMID: 41121967, PMCID: PMC12777759, DOI: 10.1111/add.70213.Peer-Reviewed Original ResearchConceptstension reduction hypothesissober participantsdrift-diffusion modelchoice behaviordecision response timesreduction hypothesisproportion of choicesemotional memorycognitive mechanismsdrinking decisionsdrinking episodesacute stressevidence accumulationstress inductionalcohol valuesalcoholic beveragesbar settingalcoholnon-alcoholic beveragesparticipantsdrift rateprimary outcomecareresponse timehypothesis
2023
Phantom oscillations in principal component analysis
Shinn M. Phantom oscillations in principal component analysis. Proceedings Of The National Academy Of Sciences Of The United States Of America 2023, 120: e2311420120. PMID: 37988465, PMCID: PMC10691246, DOI: 10.1073/pnas.2311420120.Peer-Reviewed Original Researchhigh-dimensional spacehigh-dimensional data analysisdimensionality reduction methodstraditional cross-validationlow-dimensional patternsproperties of dataprincipal component analysisneuroscience dataimpact data analysiscomponent analysismathematical proofscross-validationoscillationsphantomdata analysis
2022
Publisher Correction: A transcriptomic axis predicts state modulation of cortical interneurons
Bugeon S, Duffield J, Dipoppa M, Ritoux A, Prankerd I, Nicoloutsopoulos D, Orme D, Shinn M, Peng H, Forrest H, Viduolyte A, Reddy C, Isogai Y, Carandini M, Harris K. Publisher Correction: A transcriptomic axis predicts state modulation of cortical interneurons. Nature 2022, 609: e10-e10. PMID: 36008728, PMCID: PMC9477724, DOI: 10.1038/s41586-022-05209-8.Commentaries, Editorials and LettersA transcriptomic axis predicts state modulation of cortical interneurons
Bugeon S, Duffield J, Dipoppa M, Ritoux A, Prankerd I, Nicoloutsopoulos D, Orme D, Shinn M, Peng H, Forrest H, Viduolyte A, Reddy C, Isogai Y, Carandini M, Harris K. A transcriptomic axis predicts state modulation of cortical interneurons. Nature 2022, 607: 330-338. PMID: 35794483, PMCID: PMC9279161, DOI: 10.1038/s41586-022-04915-7.Peer-Reviewed Original ResearchConceptsoscillatory brain statesinhibitory subtypesbrain statesprimary visual cortexinhibitory neuronsin vivo two-photon calcium imagingtwo-photon calcium imaginginhibitory cholinergic receptorscortical inhibitory neuronsex vivo slicesV1 subtypevisual cortexcortical interneuronsdiverse patterns of activitylow input resistancecholinergic receptorsstate modulationinput resistancecalcium imagingsubtypesaxonal projectionscortical processingstatebrainneurons