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@ARTICLE{Schirner:890806,
      author       = {Schirner, Michael and Domide, Lia and Perdikis, Dionysios
                      and Triebkorn, Paul and Stefanovski, Leon and Pai, Roopa and
                      Popa, Paula and Valean, Bogdan and Palmer, Jessica and
                      Langford, Chloê and Blickensdörfer, André and van der
                      Vlag, Michiel and Diaz, Sandra and Peyser, Alexander and
                      Klijn, Wouter and Pleiter, Dirk and Nahm, Anne and Schmid,
                      Oliver and Woodman, Marmaduke and Zehl, Lyuba and Fousek,
                      Jan and Petkoski, Spase and Kusch, Lionel and Hashemi,
                      Meysam and Marinazzo, Daniele and Mangin, Jean-François and
                      Flöel, Agnes and Akintoye, Simisola and Stahl, Bernd
                      Carsten and Cepic, Michael and Johnson, Emily and McIntosh,
                      Anthony R. and Hilgetag, Claus C. and Morgan, Marc and
                      Schuller, Bernd and Upton, Alex and McMurtrie, Colin and
                      Dickscheid, Timo and Bjaalie, Jan G. and Amunts, Katrin and
                      Mersmann, Jochen and Jirsa, Viktor and Ritter, Petra},
      title        = {{B}rain {M}odelling as a {S}ervice: {T}he {V}irtual {B}rain
                      on {EBRAINS}},
      journal      = {Anatomical science international},
      issn         = {-},
      reportid     = {FZJ-2021-01214},
      year         = {2021},
      abstract     = {The Virtual Brain (TVB) is now available as open-source
                      cloud ecosystem on EBRAINS, a shared digital research
                      platform for brain science. It offers services for
                      constructing, simulating and analysing brain network models
                      (BNMs) including the TVB network simulator; magnetic
                      resonance imaging (MRI) processing pipelines to extract
                      structural and functional connectomes; multiscale
                      co-simulation of spiking and large-scale networks; a domain
                      specific language for automatic high-performance code
                      generation from user-specified models; simulation-ready BNMs
                      of patients and healthy volunteers; Bayesian inference of
                      epilepsy spread; data and code for mouse brain simulation;
                      and extensive educational material. TVB cloud services
                      facilitate reproducible online collaboration and discovery
                      of data assets, models, and software embedded in scalable
                      and secure workflows, a precondition for research on large
                      cohort data sets, better generalizability and clinical
                      translation.},
      cin          = {INM-1 / JSC},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-1-20090406 / I:(DE-Juel1)JSC-20090406},
      pnm          = {525 - Decoding Brain Organization and Dysfunction
                      (POF4-525) / 511 - Enabling Computational- $\&$
                      Data-Intensive Science and Engineering (POF4-511) / 512 -
                      Supercomputing $\&$ Big Data Infrastructures (POF4-512) /
                      HBP SGA2 - Human Brain Project Specific Grant Agreement 2
                      (785907) / HBP SGA3 - Human Brain Project Specific Grant
                      Agreement 3 (945539)},
      pid          = {G:(DE-HGF)POF4-525 / G:(DE-HGF)POF4-511 /
                      G:(DE-HGF)POF4-512 / G:(EU-Grant)785907 /
                      G:(EU-Grant)945539},
      typ          = {PUB:(DE-HGF)25},
      eprint       = {2102.05888},
      howpublished = {arXiv:2102.05888},
      archivePrefix = {arXiv},
      SLACcitation = {$\%\%CITATION$ = $arXiv:2102.05888;\%\%$},
      url          = {https://juser.fz-juelich.de/record/890806},
}