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@INPROCEEDINGS{Pronold:864816,
      author       = {Pronold, Jari and van Meegen, Alexander and Bakker,
                      Rembrandt and Morales-Gregorio, Aitor and van Albada, Sacha},
      title        = {{M}ulti-area spiking network models of macaque and
                      humancortices},
      reportid     = {FZJ-2019-04472},
      year         = {2019},
      abstract     = {Understanding the wiring of the brain at the micro-, meso-
                      and macroscale and its influence onneuronal activity is a
                      fundamental problem in neuroscience. Here we present a
                      multi-scale spikingnetwork model of all vision related areas
                      of macaque cortex [1] using the NEST simulator andoutline
                      how we aim to simulate human visual cortex.The connectivity
                      map in our model of the macaque visual cortex integrates
                      data on corticalarchitecture and axonal tracing data into a
                      consistent multi-scale framework and predicts theconnection
                      probability between any two neurons based on their types and
                      locations within areas andlayers [1]. Simulations using this
                      connectivity map reveal a stable asynchronous irregular
                      groundstate with heterogeneous activity across areas, layers
                      and populations [2]. The model of humanvisual cortex will
                      make use of this framework, replacing neuron densities,
                      laminar thicknesses, andcortico-cortical connectivity by
                      estimates for the human brain. To set up the framework, we
                      willfirst model a full cortical hemisphere using published
                      data on cortical architecture [3]. Human-macaque homologies
                      and DTI data will provide reference values for comparison of
                      the cortico-cortical connectivity map. These models will
                      help to elucidate how detailed connectivity of cortexshapes
                      its dynamics on multiple scales and how prominent features
                      of cortical activity can beexplained by population-level
                      connectivity.},
      month         = {Jun},
      date          = {2019-06-24},
      organization  = {NEST Conference, Ås (Norway), 24 Jun
                       2019 - 25 Jun 2019},
      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          = {571 - Connectivity and Activity (POF3-571) / 574 - Theory,
                      modelling and simulation (POF3-574) / HBP SGA1 - Human Brain
                      Project Specific Grant Agreement 1 (720270) / HBP SGA2 -
                      Human Brain Project Specific Grant Agreement 2 (785907) /
                      HBP - The Human Brain Project (604102) / Brain-Scale
                      Simulations $(jinb33_20121101)$ / SPP 2041 347572269 -
                      Integration von Multiskalen-Konnektivität und
                      Gehirnarchitektur in einem supercomputergestützten Modell
                      der menschlichen Großhirnrinde (347572269) / Advanced
                      Computing Architectures $(aca_20190115)$ / PhD no Grant -
                      Doktorand ohne besondere Förderung (PHD-NO-GRANT-20170405)},
      pid          = {G:(DE-HGF)POF3-571 / G:(DE-HGF)POF3-574 /
                      G:(EU-Grant)720270 / G:(EU-Grant)785907 / G:(EU-Grant)604102
                      / $G:(DE-Juel1)jinb33_20121101$ / G:(GEPRIS)347572269 /
                      $G:(DE-Juel1)aca_20190115$ /
                      G:(DE-Juel1)PHD-NO-GRANT-20170405},
      typ          = {PUB:(DE-HGF)24},
      url          = {https://juser.fz-juelich.de/record/864816},
}