% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Nowke:840484,
      author       = {Nowke, Christian and Zielasko, Daniel and Weyers, Benjamin
                      and Peyser, Alexander and Hentschel, Bernd and Kuhlen,
                      Torsten W.},
      title        = {{I}ntegrating {V}isualizations into {M}odeling {NEST}
                      {S}imulations},
      journal      = {Frontiers in neuroinformatics},
      volume       = {9},
      issn         = {1662-5196},
      address      = {Lausanne},
      publisher    = {Frontiers Research Foundation},
      reportid     = {FZJ-2017-07998},
      pages        = {29},
      year         = {2015},
      abstract     = {Modeling large-scale spiking neural networks showing
                      realistic biological behavior in their dynamics is a complex
                      and tedious task. Since these networks consist of millions
                      of interconnected neurons, their simulation produces an
                      immense amount of data. In recent years it has become
                      possible to simulate even larger networks. However,
                      solutions to assist researchers in understanding the
                      simulation's complex emergent behavior by means of
                      visualization are still lacking. While developing tools to
                      partially fill this gap, we encountered the challenge to
                      integrate these tools easily into the neuroscientists' daily
                      workflow. To understand what makes this so challenging, we
                      looked into the workflows of our collaborators and analyzed
                      how they use the visualizations to solve their daily
                      problems. We identified two major issues: first, the
                      analysis process can rapidly change focus which requires to
                      switch the visualization tool that assists in the current
                      problem domain. Second, because of the heterogeneous data
                      that results from simulations, researchers want to relate
                      data to investigate these effectively. Since a monolithic
                      application model, processing and visualizing all data
                      modalities and reflecting all combinations of possible
                      workflows in a holistic way, is most likely impossible to
                      develop and to maintain, a software architecture that offers
                      specialized visualization tools that run simultaneously and
                      can be linked together to reflect the current workflow, is a
                      more feasible approach. To this end, we have developed a
                      software architecture that allows neuroscientists to
                      integrate visualization tools more closely into the modeling
                      tasks. In addition, it forms the basis for semantic linking
                      of different visualizations to reflect the current workflow.
                      In this paper, we present this architecture and substantiate
                      the usefulness of our approach by common use cases we
                      encountered in our collaborative work.},
      cin          = {JSC / JARA-HPC},
      ddc          = {610},
      cid          = {I:(DE-Juel1)JSC-20090406 / $I:(DE-82)080012_20140620$},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511) / SMHB - Supercomputing and Modelling for the
                      Human Brain (HGF-SMHB-2013-2017) / SLNS - SimLab
                      Neuroscience (Helmholtz-SLNS)},
      pid          = {G:(DE-HGF)POF3-511 / G:(DE-Juel1)HGF-SMHB-2013-2017 /
                      G:(DE-Juel1)Helmholtz-SLNS},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:26733860},
      UT           = {WOS:000370611100001},
      doi          = {10.3389/fninf.2015.00029},
      url          = {https://juser.fz-juelich.de/record/840484},
}