2024
Learning integral operators via neural integral equations
Zappala E, Fonseca A, Caro J, Moberly A, Higley M, Cardin J, Dijk D. Learning integral operators via neural integral equations. Nature Machine Intelligence 2024, 1-17. DOI: 10.1038/s42256-024-00886-8.Peer-Reviewed Original ResearchSelf-attentionNon-local operatorsMachine learningModeling complex systemsReal-world dataHigher-dimensional problemsComplex systemsDynamic embeddingsIntegral equationsModel capacitySpatiotemporal dependenciesIntegral operatorsSecond-kind integral equationsIntegral equation solversModeling capabilitiesNonlinear operatorsTheoretical analysisNon-local systemNumerical benchmarksMachineLearningApproximate resultsNavier-StokesEquation solverScalabilityTraumatic brain injury disrupts state-dependent functional cortical connectivity in a mouse model
Bottom-Tanzer S, Corella S, Meyer J, Sommer M, Bolaños L, Murphy T, Quiñones S, Heiney S, Shtrahman M, Whalen M, Oren R, Higley M, Cardin J, Noubary F, Armbruster M, Dulla C. Traumatic brain injury disrupts state-dependent functional cortical connectivity in a mouse model. Cerebral Cortex 2024, 34: bhae038. PMID: 38365273, DOI: 10.1093/cercor/bhae038.Peer-Reviewed Original ResearchConceptsControlled cortical impactTraumatic brain injuryFunctional connectivityDisrupted functional connectivityAssociated with improved cognitionReduced theta powerBrain injuryHuman TBI patientsModel of traumatic brain injuryBehavioral state-dependent changesNetwork connectivity changesFunctional cortical connectivityBrain regionsTheta powerConnectivity changesState-dependent changesCortical impactPeriods of locomotionCortical connectivityTBI patientsRodent modelsECoG activityMotor dysfunctionCortexInjured cortex
2023
The Cousa objective: a long-working distance air objective for multiphoton imaging in vivo
Yu C, Yu Y, Adsit L, Chang J, Barchini J, Moberly A, Benisty H, Kim J, Young B, Heng K, Farinella D, Leikvoll A, Pavan R, Vistein R, Nanfito B, Hildebrand D, Otero-Coronel S, Vaziri A, Goldberg J, Ricci A, Fitzpatrick D, Cardin J, Higley M, Smith G, Kara P, Nielsen K, Smith I, Smith S. The Cousa objective: a long-working distance air objective for multiphoton imaging in vivo. Nature Methods 2023, 21: 132-141. PMID: 38129618, PMCID: PMC10776402, DOI: 10.1038/s41592-023-02098-1.Peer-Reviewed Original Research
2022
Spatiotemporally heterogeneous coordination of cholinergic and neocortical activity
Lohani S, Moberly A, Benisty H, Landa B, Jing M, Li Y, Higley M, Cardin J. Spatiotemporally heterogeneous coordination of cholinergic and neocortical activity. Nature Neuroscience 2022, 25: 1706-1713. PMID: 36443609, PMCID: PMC10661869, DOI: 10.1038/s41593-022-01202-6.Peer-Reviewed Original ResearchConceptsCortical network activityBehavioral statesCholinergic modulationAnimal's behavioral stateCholinergic signalingAwake miceCortical functionFunctional reorganizationNeuromodulatory influencesDifferent motor behaviorsNeocortical activityAcetylcholineMotor behaviorCortical networksRecent evidenceBrain activityFunctional segregationNeocortexMesoscopic imagingHeterogeneous signalsNetwork activityBehavioral markersBehavioral variablesCircuit dynamicsCholinergic
2017
Multiscale optical imaging of cortical activity in mouse
Barson D, Hamodi A, Lur G, Cardin J, Crair M, Higley M. Multiscale optical imaging of cortical activity in mouse. 2017, jtu4a.13. DOI: 10.1364/boda.2017.jtu4a.13.Peer-Reviewed Original Research