tag:joss.theoj.org,2005:/papers/tagged/kubeflowJournal of Open Source Software2023-03-21T11:34:30ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/39792023-03-21T11:34:30Z2023-03-22T00:03:16ZHigh-performance neural population dynamics modeling enabled by scalable computational infrastructureacceptedv1.0.02022-10-26 06:03:04 UTC832023-03-21 11:34:30 UTC820235023AashishN.PatelDepartment of Electrical and Computer Engineering, University of California San Diego, United States of America, Institute for Neural Computation, University of California San Diego, United States of AmericaAndrewR.SedlerCenter for Machine Learning, Georgia Institute of Technology, United States of America, Department of Biomedical Engineering, Georgia Institute of Technology, United States of America0000-0001-9480-0698JingyaHuangDepartment of Electrical and Computer Engineering, University of California San Diego, United States of AmericaChethanPandarinathCenter for Machine Learning, Georgia Institute of Technology, United States of America, Department of Biomedical Engineering, Georgia Institute of Technology, United States of America, Department of Neurosurgery, Emory University, United States of America, These authors contributed equallyVikashGiljaDepartment of Electrical and Computer Engineering, University of California San Diego, United States of America, These authors contributed equally10.21105/joss.05023https://doi.org/10.5281/zenodo.7719505Python, Smartyhttps://joss.theoj.org/papers/10.21105/joss.05023.pdfautolfads, kubeflow, ray, neuroscience