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@ARTICLE{Gleeson:863462,
      author       = {Gleeson, Padraig and Cantarelli, Matteo and Marin, Boris
                      and Quintana, Adrian and Earnshaw, Matt and Sadeh, Sadra and
                      Piasini, Eugenio and Birgiolas, Justas and Cannon, Robert C.
                      and Cayco-Gajic, N. Alex and Crook, Sharon and Davison,
                      Andrew P. and Dura-Bernal, Salvador and Ecker, András and
                      Hines, Michael L. and Idili, Giovanni and Lanore, Frederic
                      and Larson, Stephen D. and Lytton, William W. and Majumdar,
                      Amitava and McDougal, Robert A. and Sivagnanam, Subhashini
                      and Solinas, Sergio and Stanislovas, Rokas and van Albada,
                      Sacha and van Geit, Werner and Silver, R. Angus},
      title        = {{O}pen {S}ource {B}rain: {A} {C}ollaborative {R}esource for
                      {V}isualizing, {A}nalyzing, {S}imulating, and {D}eveloping
                      {S}tandardized {M}odels of {N}eurons and {C}ircuits},
      journal      = {Neuron},
      volume       = {103},
      number       = {3},
      issn         = {0896-6273},
      address      = {New York, NY},
      publisher    = {Elsevier},
      reportid     = {FZJ-2019-03520},
      pages        = {395-411.e5},
      year         = {2019},
      abstract     = {Computational models are powerful tools for exploring the
                      properties of complex biological systems. In neuroscience,
                      data-driven models of neural circuits that span multiple
                      scales are increasingly being used to understand brain
                      function in health and disease. But their adoption and reuse
                      has been limited by the specialist knowledge required to
                      evaluate and use them. To address this, we have developed
                      Open Source Brain, a platform for sharing, viewing,
                      analyzing, and simulating standardized models from different
                      brain regions and species. Model structure and parameters
                      can be automatically visualized and their dynamical
                      properties explored through browser-based simulations.
                      Infrastructure and tools for collaborative interaction,
                      development, and testing are also provided. We demonstrate
                      how existing components can be reused by constructing new
                      models of inhibition-stabilized cortical networks that match
                      recent experimental results. These features of Open Source
                      Brain improve the accessibility, transparency, and
                      reproducibility of models and facilitate their reuse by the
                      wider community.},
      cin          = {INM-6 / IAS-6 / INM-10},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)IAS-6-20130828 /
                      I:(DE-Juel1)INM-10-20170113},
      pnm          = {574 - Theory, modelling and simulation (POF3-574) / HBP
                      SGA1 - Human Brain Project Specific Grant Agreement 1
                      (720270) / HBP - The Human Brain Project (604102) / HBP -
                      Human Brain Project (284941)},
      pid          = {G:(DE-HGF)POF3-574 / G:(EU-Grant)720270 /
                      G:(EU-Grant)604102 / G:(EU-Grant)284941},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:31201122},
      UT           = {WOS:000479119400009},
      doi          = {10.1016/j.neuron.2019.05.019},
      url          = {https://juser.fz-juelich.de/record/863462},
}