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@CONFERENCE{Wenzel:1031532,
      author       = {Wenzel, Susanne and Toussaint, Paule-J and Evans, Alan C
                      and Amunts, Katrin},
      title        = {{HIBALL} {W}inter {S}chool 2024},
      school       = {Heinrich-Heine-University Düsseldorf},
      reportid     = {FZJ-2024-05727},
      year         = {2024},
      abstract     = {The third HIBALL Winter School is scheduled to take place
                      on March 11 and March 12, 2024. This event offers a series
                      of tutorials covering various aspects of working with the
                      BigBrain and other related datasets and tools. The Winter
                      School will be organised as a hybrid meeting, with physical
                      meetings in both Jülich and Montreal interconnected via an
                      interactive live stream. As there is a time difference
                      between the two cities, the school is organised over two
                      half days. We cordially invite all those who already work
                      with or are interested in working with the BigBrain to
                      participate in this educational event.<br><br>The BigBrain
                      model has become an important tool for brain mapping,
                      enabling studies and the integration of multimodal data into
                      an anatomically realistic standard space at microscopic
                      resolution. In a joint effort, researchers from McGill
                      University in Montreal and the Forschungszentrum Jülich
                      used 7404 digitised histological sections and developed the
                      BigBrain as a high-resolution 3D model of the human brain
                      (Amunts et al., Science 2013). HIBALL builds on this
                      cross-continental cooperation and now aims to develop the
                      next-generation high-resolution human brain models with the
                      help of state-of-the-art machine learning methods and
                      high-performance computing infrastructures. <br><br>With the
                      teaching events of the BigBrain Project, we reach out to the
                      thriving community of users and developers which has emerged
                      around the BigBrain. We particularly invite early career
                      researchers to join the discussion and become part of the
                      BigBrain community.<br> <br>The event is free, but
                      registration is mandatory. Please note that it is foreseen
                      to join one of the physical meetings in Jülich or Montreal.
                      Virtual participation is possible upon request, but remote
                      support might be limited.},
      month         = {Mar},
      date          = {2024-03-11},
      organization  = {HIBALL Winter School 2024, online
                       (Germany), 11 Mar 2024 - 12 Mar 2024},
      cin          = {INM-1},
      cid          = {I:(DE-Juel1)INM-1-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525) / HIBALL - Helmholtz International BigBrain
                      Analytics and Learning Laboratory (HIBALL) (InterLabs-0015)
                      / EBRAINS 2.0 - EBRAINS 2.0: A Research Infrastructure to
                      Advance Neuroscience and Brain Health (101147319)},
      pid          = {G:(DE-HGF)POF4-5251 / G:(DE-HGF)InterLabs-0015 /
                      G:(EU-Grant)101147319},
      typ          = {PUB:(DE-HGF)5},
      url          = {https://juser.fz-juelich.de/record/1031532},
}