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@INPROCEEDINGS{Gutzen:1014811,
      author       = {Gutzen, Robin},
      title        = {{E}xploring the diversity of cortical wave activity with a
                      unifying workflow approach},
      reportid     = {FZJ-2023-03481},
      year         = {2023},
      abstract     = {Although brain waves have been studied for a long time, the
                      complex spatial dynamics of such waves became observable
                      only with high-resolution measurement technology. Recent
                      studies of cortical wave activity present various
                      propagation patterns, cortical localization, frequency
                      regimes, and potentially functional roles [e.g. Denker et
                      al. 2018, Davis et al. 2020].Such heterogeneity warrants
                      analysis approaches that enable the combination and
                      comparison of data and results from different sources,
                      facilitating a cumulative understanding of cortical wave
                      activity. We developed an adaptable and reusable workflow
                      approach to combine various data modalities and analysis
                      methods, by combining existing software tools and standards
                      from the EBRAINS environment.We showcase how this approach
                      enables large meta-studies, comparing slow wave activity in
                      anesthetized mice across heterogenous data sources [Gutzen
                      et al. 2022] and the calibration and validation of
                      corresponding network models [Capone et al. 2023]. Further,
                      we demonstrate its extension to new applications, data
                      modalities, and wave types. Specifically, we analyze LFP
                      phase waves in the visual cortex of the macaque monkey in
                      the context of visual perception and the coordination of
                      corresponding saccadic eye movements.In doing so, we
                      illustrate how the adaptable reusability of research
                      software accelerates research, enhances automation, supports
                      collaboration, promotes reproducibility, and enables
                      cross-domain comparisons.},
      month         = {Sep},
      date          = {2023-09-12},
      organization  = {Concluding Event of the Human Brain
                       Project, Jülich (Germany), 12 Sep 2023
                       - 13 Sep 2023},
      subtyp        = {After Call},
      cin          = {INM-6 / IAS-6 / INM-10},
      cid          = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)IAS-6-20130828 /
                      I:(DE-Juel1)INM-10-20170113},
      pnm          = {5235 - Digitization of Neuroscience and User-Community
                      Building (POF4-523) / 5231 - Neuroscientific Foundations
                      (POF4-523) / HBP SGA2 - Human Brain Project Specific Grant
                      Agreement 2 (785907) / HBP SGA3 - Human Brain Project
                      Specific Grant Agreement 3 (945539) / JL SMHB - Joint Lab
                      Supercomputing and Modeling for the Human Brain (JL
                      SMHB-2021-2027) / HAF - Helmholtz Analytics Framework
                      (ZT-I-0003)},
      pid          = {G:(DE-HGF)POF4-5235 / G:(DE-HGF)POF4-5231 /
                      G:(EU-Grant)785907 / G:(EU-Grant)945539 / G:(DE-Juel1)JL
                      SMHB-2021-2027 / G:(DE-HGF)ZT-I-0003},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/1014811},
}