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@ARTICLE{Einevoll:863081,
      author       = {Einevoll, Gaute T. and Destexhe, Alain and Diesmann, Markus
                      and Grün, Sonja and Jirsa, Viktor and de Kamps, Marc and
                      Migliore, Michele and Ness, Torbjørn V. and Plesser, Hans
                      E. and Schürmann, Felix},
      title        = {{T}he {S}cientific {C}ase for {B}rain {S}imulations},
      journal      = {Neuron},
      volume       = {102},
      number       = {4},
      issn         = {0896-6273},
      address      = {New York, NY},
      publisher    = {Elsevier},
      reportid     = {FZJ-2019-03198},
      pages        = {735 - 744},
      year         = {2019},
      abstract     = {A key element of the European Union’s Human Brain Project
                      (HBP) and other large-scale brain research projects is the
                      simulation of large-scale model networks of neurons. Here,
                      we argue why such simulations will likely be indispensable
                      for bridging the scales between the neuron and system levels
                      in the brain, and why a set of brain simulators based on
                      neuron models at different levels of biological detail
                      should therefore be developed. To allow for systematic
                      refinement of candidate network models by comparison with
                      experiments, the simulations should be multimodal in the
                      sense that they should predict not only action potentials,
                      but also electric, magnetic, and optical signals measured at
                      the population and system levels.},
      cin          = {INM-6 / INM-10 / IAS-6},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)INM-10-20170113 /
                      I:(DE-Juel1)IAS-6-20130828},
      pnm          = {574 - Theory, modelling and simulation (POF3-574) / 571 -
                      Connectivity and Activity (POF3-571) / HBP - The Human Brain
                      Project (604102) / HBP SGA1 - Human Brain Project Specific
                      Grant Agreement 1 (720270) / HBP SGA2 - Human Brain Project
                      Specific Grant Agreement 2 (785907) / DEEP-EST - DEEP -
                      Extreme Scale Technologies (754304) / DFG project 322093511
                      - Kognitive Leistung als Ergebnis koordinierter neuronaler
                      Aktivität in unreifen präfrontal-hippokampalen Netzwerken
                      (322093511) / HAF - Helmholtz Analytics Framework
                      (ZT-I-0003) / Brain-Scale Simulations $(jinb33_20121101)$ /
                      Advanced Computing Architectures $(aca_20190115)$ / GRK 2416
                      - GRK 2416: MultiSenses-MultiScales: Neue Ansätze zur
                      Aufklärung neuronaler multisensorischer Integration
                      (368482240)},
      pid          = {G:(DE-HGF)POF3-574 / G:(DE-HGF)POF3-571 /
                      G:(EU-Grant)604102 / G:(EU-Grant)720270 / G:(EU-Grant)785907
                      / G:(EU-Grant)754304 / G:(GEPRIS)322093511 /
                      G:(DE-HGF)ZT-I-0003 / $G:(DE-Juel1)jinb33_20121101$ /
                      $G:(DE-Juel1)aca_20190115$ / G:(GEPRIS)368482240},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:31121126},
      UT           = {WOS:000468597000011},
      doi          = {10.1016/j.neuron.2019.03.027},
      url          = {https://juser.fz-juelich.de/record/863081},
}