Hierarchical Heterogeneity across Human Cortex Shapes Large-Scale Neural Dynamics
Demirtaş M, Burt JB, Helmer M, Ji JL, Adkinson BD, Glasser MF, Van Essen DC, Sotiropoulos SN, Anticevic A, Murray JD. Hierarchical Heterogeneity across Human Cortex Shapes Large-Scale Neural Dynamics. Neuron 2019, 101: 1181-1194.e13. PMID: 30744986, PMCID: PMC6447428, DOI: 10.1016/j.neuron.2019.01.017.Peer-Reviewed Original ResearchConceptsResting-state functional connectivityHigh-frequency spectral powerMagnetic resonance imagingLocal synaptic strengthsResting-state magnetoencephalographyCircuit-level mechanismsMicrocircuit propertiesHuman cortical dynamicsCortical areasLocal circuitsResonance imagingSynaptic strengthHuman cortexFunctional MRIFunctional connectivityCortical organizationHierarchical specializationLarge-scale neural dynamicsNeural activityFMRI featuresCortexCortical dynamicsLocal propertiesSpectral powerIntrinsic local propertiesA flexible framework for simulating and fitting generalized drift-diffusion models
Shinn M, Lam NH, Murray JD. A flexible framework for simulating and fitting generalized drift-diffusion models. ELife 2020, 9: e56938. PMID: 32749218, PMCID: PMC7462609, DOI: 10.7554/elife.56938.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsData AnalysisDecision MakingHumansModels, NeurologicalModels, PsychologicalSoftwareConceptsDrift-diffusion modelArbitrary user-defined functionsImportant decision-making modelFokker-Planck equationEfficient numerical methodDecision-making mechanismUser-defined functionsDrift diffusion model frameworkFlexible frameworkSoftware packageGDDMHuman datasetsNumerical methodDecision-making modelResponse time distributionsDecision-making taskLatest methodologiesModel formGood accuracyFrameworkMaximum likelihoodModel innovationTime distributionDDM parametersModel frameworkConfluence of Timing and Reward Biases in Perceptual Decision-Making Dynamics
Shinn M, Ehrlich D, Lee D, Murray JD, Seo H. Confluence of Timing and Reward Biases in Perceptual Decision-Making Dynamics. Journal Of Neuroscience 2020, 40: 7326-7342. PMID: 32839233, PMCID: PMC7534922, DOI: 10.1523/jneurosci.0544-20.2020.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBiasBrainDecision MakingMacaca mulattaMaleModels, NeurologicalPerceptionRewardTime FactorsConceptsDecision-making taskReward biasesDecision-making strategiesPerceptual decision-making taskNovel decision-making taskGeneralized drift-diffusion modelsResponse time patternsTiming mechanismTemporal structureCognitive mechanismsSensory evidenceDecision-making dynamicsUrgency signalAsymmetric rewardsNeural mechanismsStimulus timingDrift-diffusion modelTemporal contextLeaky integrationRewardReward structureTemporal uncertaintyEvidence reliabilityEveryday lifeSuch regularitiesA circuit mechanism for decision-making biases and NMDA receptor hypofunction
Cavanagh SE, Lam NH, Murray JD, Hunt LT, Kennerley SW. A circuit mechanism for decision-making biases and NMDA receptor hypofunction. ELife 2020, 9: e53664. PMID: 32988455, PMCID: PMC7524553, DOI: 10.7554/elife.53664.Peer-Reviewed Original ResearchConceptsNMDA-R hypofunctionCortical excitation/inhibition balanceExcitation/inhibition balanceNMDA receptor hypofunctionNMDA receptor antagonismNMDA-R antagonist ketamineCircuit-level mechanismsPotential neural mechanismsNeuropsychiatric symptomsReceptor hypofunctionReceptor antagonismInhibition balanceExcitatory neuronsInhibitory neuronsPharmacological modelPharmacological manipulationNeuropsychiatric disordersCircuit mechanismsHypofunctionVariable evidenceNeural mechanismsKetamineNeuronsBehavioral psychophysicsPossible effectsPsychRNN: An Accessible and Flexible Python Package for Training Recurrent Neural Network Models on Cognitive Tasks
Ehrlich DB, Stone JT, Brandfonbrener D, Atanasov A, Murray JD. PsychRNN: An Accessible and Flexible Python Package for Training Recurrent Neural Network Models on Cognitive Tasks. ENeuro 2020, 8: eneuro.0427-20.2020. PMID: 33328247, PMCID: PMC7814477, DOI: 10.1523/eneuro.0427-20.2020.Peer-Reviewed Original ResearchConceptsRecurrent neural networkCognitive tasksCognitive neurosciencePython packageTraining of animalsTraining recurrent neural networksNetwork modelArtificial recurrent neural networkDeep learning softwareDeep-learning methodsRecurrent neural network modelNeural network modelNeural representationCognitive computationsNeuroscience researchNeural networkRNN modelCurriculum learningNeuroscienceCircuit mechanismsAdditional customizationConnectivity patternsTaskSoftware packageComputational modeling frameworkTrial-to-Trial Variability of Spiking Delay Activity in Prefrontal Cortex Constrains Burst-Coding Models of Working Memory
Li D, Constantinidis C, Murray JD. Trial-to-Trial Variability of Spiking Delay Activity in Prefrontal Cortex Constrains Burst-Coding Models of Working Memory. Journal Of Neuroscience 2021, 41: 8928-8945. PMID: 34551937, PMCID: PMC8549532, DOI: 10.1523/jneurosci.0167-21.2021.Peer-Reviewed Original ResearchMeSH KeywordsAction PotentialsAnimalsMacaca mulattaMaleMemory, Short-TermModels, NeurologicalPoisson DistributionPrefrontal CortexStochastic ProcessesConceptsTrial variabilityEffects of Altered Excitation-Inhibition Balance on Decision Making in a Cortical Circuit Model
Lam NH, Borduqui T, Hallak J, Roque A, Anticevic A, Krystal JH, Wang XJ, Murray JD. Effects of Altered Excitation-Inhibition Balance on Decision Making in a Cortical Circuit Model. Journal Of Neuroscience 2021, 42: 1035-1053. PMID: 34887320, PMCID: PMC8824494, DOI: 10.1523/jneurosci.1371-20.2021.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsCerebral CortexComputer SimulationDecision MakingHumansModels, NeurologicalNeural PathwaysConceptsCortical circuitsCognitive deficitsCortical circuit modelAltered excitation-inhibition balanceExcitatory pyramidal neuronsNMDA receptor hypofunctionCerebral cortical circuitsExcitation-inhibition balancePyramidal neuronsReceptor hypofunctionDistinct time coursesSynaptic excitationInhibitory interneuronsMultiple neuropsychiatric disordersBehavioral deficitsSynaptic balanceSynaptic levelLatest evidenceNeuropsychiatric disordersCognitive functionCircuit mechanismsBehavioral effectsPsychometric performanceBehavioral levelTask paradigmGeometry of neural computation unifies working memory and planning
Ehrlich DB, Murray JD. Geometry of neural computation unifies working memory and planning. Proceedings Of The National Academy Of Sciences Of The United States Of America 2022, 119: e2115610119. PMID: 36067286, PMCID: PMC9478653, DOI: 10.1073/pnas.2115610119.Peer-Reviewed Original ResearchMeSH KeywordsComputer SimulationHumansMemory, Short-TermModels, NeurologicalNeural Networks, ComputerPrefrontal CortexConceptsNeural dataPossible circuit mechanismReal-world tasksMemory taskUpcoming eventsSensory modelPrefrontal cortexCognitive functionRecurrent neural networkHuman behaviorNeurophysiological observationsMemoryCircuit mechanismsFalsifiable predictionsFuture behaviorTaskModular processRepresentational strategiesRepresentationNeural networkCortexBehaviorDistinct typesBrainFindings