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@INPROCEEDINGS{Silchenko:1017429,
      author       = {Silchenko, Alexander and Bettazzi, Edoardo and Eickhoff,
                      Simon and Tahmasian, Masoud and Hoffstaedter, Felix},
      title        = {{D}ynamic causal modeling computational pipeline for
                      resting-state f{MRI} data: the structure and main modules
                      for {DCM} and {PEB} analysis},
      reportid     = {FZJ-2023-04125},
      year         = {2023},
      note         = {Acknowledgments: This work was supported by the Deutsche
                      Forschungsgemeinschaft (DFG, EI 816/11-1), the National
                      Institute of Mental Health (R01-MH074457), the Helmholtz
                      Portfolio Theme Supercomputing and Modeling for the Human
                      Brain, and the European Union’s Horizon 2020 Research and
                      Innovation Programme under Grant Agreements 720270 (HBP
                      SGA1), 785907 (HBP SGA2), and 826421 (VirtualBrainCloud).},
      month         = {Oct},
      date          = {2023-10-17},
      organization  = {INM Retreat, Jülich (Germany), 17 Oct
                       2023 - 18 Oct 2023},
      subtyp        = {After Call},
      cin          = {INM-7},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5254 - Neuroscientific Data Analytics and AI (POF4-525) /
                      HBP SGA1 - Human Brain Project Specific Grant Agreement 1
                      (720270) / HBP SGA2 - Human Brain Project Specific Grant
                      Agreement 2 (785907) / VirtualBrainCloud - Personalized
                      Recommendations for Neurodegenerative Disease (826421)},
      pid          = {G:(DE-HGF)POF4-5254 / G:(EU-Grant)720270 /
                      G:(EU-Grant)785907 / G:(EU-Grant)826421},
      typ          = {PUB:(DE-HGF)24},
      doi          = {10.34734/FZJ-2023-04125},
      url          = {https://juser.fz-juelich.de/record/1017429},
}