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@ARTICLE{Amunts:902980,
      author       = {Amunts, Katrin and Lippert, Thomas},
      title        = {{B}rain research challenges supercomputing},
      journal      = {Science},
      volume       = {374},
      number       = {6571},
      issn         = {0036-8075},
      address      = {Cambridge, Mass.},
      publisher    = {Moses King},
      reportid     = {FZJ-2021-04726},
      pages        = {1054 - 1055},
      year         = {2021},
      abstract     = {The adult human brain contains ∼86 billion neurons (1).
                      Zooming into its cellular and subcellular details to reveal
                      different aspects of neuronal connectivity is a key area of
                      research. However, to link the different spatial scales from
                      the synaptic level (at nanometer range) through single
                      neurons and glial cells (at the micrometer level) to the
                      whole organ is most challenging. Recently, the connectome of
                      Caenorhabditis elegans, with its 302 neurons, has been
                      characterized, and a complete structural-functional model
                      has been proposed (2). A comparable level of detail of the
                      human brain connectome is still a long way off. As such,
                      decoding the human connectome, the mechanisms of signal
                      transduction, and relationships to brain function are linked
                      to exponentially growing challenges in advanced
                      computational and storage technologies, which in turn may
                      lead to creative solutions beyond neuroscience.},
      cin          = {INM-1 / JSC},
      ddc          = {500},
      cid          = {I:(DE-Juel1)INM-1-20090406 / I:(DE-Juel1)JSC-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525) / HBP SGA3 - Human Brain Project Specific Grant
                      Agreement 3 (945539) / 5111 - Domain-Specific Simulation
                      $\&$ Data Life Cycle Labs (SDLs) and Research Groups
                      (POF4-511)},
      pid          = {G:(DE-HGF)POF4-5251 / G:(EU-Grant)945539 /
                      G:(DE-HGF)POF4-5111},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:34822267},
      UT           = {WOS:000725668600021},
      doi          = {10.1126/science.abl8519},
      url          = {https://juser.fz-juelich.de/record/902980},
}