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@INPROCEEDINGS{vanderVlag:912234,
      author       = {van der Vlag, Michiel},
      title        = {{R}ate{ML}: {A} {C}ode {G}eneration {T}ool for {B}rain
                      {N}etwork {M}odels},
      reportid     = {FZJ-2022-05434},
      year         = {2022},
      abstract     = {It is argued that the relation of contemporary theoretical
                      approaches to consciousness to the neurophysiology of the
                      brain, can best be studied via detailed whole-brain
                      modeling[1]. Often neuroimaging modalities such as fMRI, EEG
                      and PET are applied to relate activation of brain regions or
                      brain structure with consciousness[1-3]. In order to
                      contribute to the discussion on consciousness, The Virtual
                      Brain[4] (TVB), a neuroinformatics platform for full brain
                      network simulations using biologically realistic
                      connectivity, can be employed to relate brain structure to
                      dynamics. In order to reduce workflow complexity for whole
                      brain network models used by simulators such as TVB, a tool
                      called RateML can be utilized. It enables scientist to
                      generate models from a high level XML file containing
                      constructs corresponding to aspects of the whole-brain
                      model, abstracting the concern for the actual
                      implementation. Its output is a Python model which can be
                      used in the graphical interface of TVB and a model and
                      simulator object for the Compute Unified Device
                      Architecture (CUDA) parallel computing platform, enabling
                      extreme parameter space exploration by making use of the
                      highly parallel architecture of the Graphical Processing
                      Unit (GPU). RateML has its foundation in Low Entropy Model
                      Specification (LEMS)[5] which has been used to build
                      NeuroML2. Nowadays, it is impossible to separate
                      computational neuroscience from the study on consciousness,
                      RateML makes the computational infrastructure accessible to
                      scientists to make stronger and statistically significant
                      claims about the brain.},
      month         = {Jul},
      date          = {2022-07-12},
      organization  = {Association of Scientific Studies of
                       Consciousness Meeting, Amsterdam
                       (Netherlands), 12 Jul 2022 - 15 Jul
                       2022},
      subtyp        = {After Call},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511) / HBP SGA3 - Human
                      Brain Project Specific Grant Agreement 3 (945539) / SLNS -
                      SimLab Neuroscience (Helmholtz-SLNS)},
      pid          = {G:(DE-HGF)POF4-5111 / G:(EU-Grant)945539 /
                      G:(DE-Juel1)Helmholtz-SLNS},
      typ          = {PUB:(DE-HGF)24},
      url          = {https://juser.fz-juelich.de/record/912234},
}