Featured Publications
PsychRNN: 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 framework
2016
Clinical Heterogeneity Arising from Categorical and Dimensional Features of the Neurobiology of Psychiatric Diagnoses: Insights from Neuroimaging and Computational Neuroscience
Krystal J, Anticevic A, Murray J, Glahn D, Driesen N, Yang G, Wang X. Clinical Heterogeneity Arising from Categorical and Dimensional Features of the Neurobiology of Psychiatric Diagnoses: Insights from Neuroimaging and Computational Neuroscience. 2016, 293-316. DOI: 10.7551/mitpress/10936.003.0023.Peer-Reviewed Original ResearchPsychiatric disordersMechanisms of psychiatric disordersModel psychiatric disordersPsychiatric nosologyPsychological assessmentPsychiatric diagnosingModern psychiatryPsychiatric issuesNeurobiologyPsychiatristsNeurological analysisPsychiatryDisordersComputational neuroscienceClinical heterogeneityNeuroimagingNosologyNeuroscienceNeuroscientistsComputational neuroscientistsCategorization