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@INPROCEEDINGS{Shimoura:1044827,
      author       = {Shimoura, Renan and Pronold, Jari and Meegen, Alexander van
                      and Senden, Mario and Hilgetag, Claus and Bakker, Rembrandt
                      and van Albada, Sacha},
      title        = {{M}ulti-scale {S}piking {N}etwork {M}odel of {H}uman
                      {C}erebral {C}ortex},
      reportid     = {FZJ-2025-03382},
      year         = {2025},
      abstract     = {Data-driven models at cellular resolution have been built
                      for various brain regions, yet few exist for the human
                      cortex. We present a comprehensive point-neuron network
                      model of a human cortical hemisphere integrating diverse
                      experimental data into a unified framework bridging cellular
                      and network scales [1]. Our approach builds on a large-scale
                      spiking network model of macaque cortex [2,3] and
                      investigates how resting-state activity emerges in cortical
                      networks.We constructed a spiking network model representing
                      one hemisphere using the Desikan-Killiany parcellation (34
                      areas), with each area implemented as a 1 mm² microcircuit
                      distinguishing the cortical layers. The model aggregates
                      data across multiple modalities, including electron
                      microscopy for synapse density, cytoarchitecture from the
                      von Economo atlas [4], DTI-based connectivity [5], and local
                      connection probabilities from the Potjans-Diesmann
                      microcircuit [6]. Human neuron morphologies [7] inform the
                      layer-specific inter-area connectivity. The full-density
                      model, based on leaky integrate-and-fire neurons, comprises
                      3.47 million neurons with 42.8 billion synapses and was
                      simulated using the NEST simulator on the JURECA-DC
                      supercomputer.When local and inter-area synapses have the
                      same strength, model simulations show asynchronous irregular
                      activity deviating from experiments in terms of spiking
                      activity and inter-area functional connectivity. When
                      inter-areal connections are strengthened relative to local
                      synapses, the model reproduces both microscopic spiking
                      statistics from human medial frontal cortex and macroscopic
                      resting-state fMRI correlations [8]. Analysis reveals that
                      single-spike perturbations influence network-wide activity
                      within 50-75 ms. The ongoing activity flows primarily from
                      parietal through occipital and temporal to frontal areas,
                      consistent with empirical findings during visual imagery
                      [9].This open-source model integrates human data across
                      scales to investigate cortical organization and dynamics. By
                      preserving neuron and synapse densities, it accounts for the
                      majority of the inputs to the modeled neurons, enhancing the
                      self-consistency compared to downscaled models. The model
                      allows systematic study of structure-dynamics relationships
                      and forms a platform for investigating theories of cortical
                      function. Future work may leverage the Julich-Brain Atlas to
                      refine the parcellation and incorporate detailed
                      cytoarchitectural and receptor distribution data [10]. The
                      model code is publicly available at
                      https://github.com/INM-6/human-multi-area-model.},
      month         = {Jul},
      date          = {2025-07-05},
      organization  = {34th Annual Computational Neuroscience
                       Meeting, Florence (Italy), 5 Jul 2025 -
                       9 Jul 2025},
      subtyp        = {Other},
      cin          = {IAS-6},
      cid          = {I:(DE-Juel1)IAS-6-20130828},
      pnm          = {5231 - Neuroscientific Foundations (POF4-523) / DFG project
                      G:(GEPRIS)347572269 - Heterogenität von Zytoarchitektur,
                      Chemoarchitektur und Konnektivität in einem großskaligen
                      Computermodell der menschlichen Großhirnrinde (347572269) /
                      HBP SGA3 - Human Brain Project Specific Grant Agreement 3
                      (945539) / EBRAINS 2.0 - EBRAINS 2.0: A Research
                      Infrastructure to Advance Neuroscience and Brain Health
                      (101147319) / JL SMHB - Joint Lab Supercomputing and
                      Modeling for the Human Brain (JL SMHB-2021-2027) /
                      Brain-Scale Simulations $(jinb33_20220812)$ / $HiRSE_PS$ -
                      Helmholtz Platform for Research Software Engineering -
                      Preparatory Study $(HiRSE_PS-20220812)$},
      pid          = {G:(DE-HGF)POF4-5231 / G:(GEPRIS)347572269 /
                      G:(EU-Grant)945539 / G:(EU-Grant)101147319 / G:(DE-Juel1)JL
                      SMHB-2021-2027 / $G:(DE-Juel1)jinb33_20220812$ /
                      $G:(DE-Juel-1)HiRSE_PS-20220812$},
      typ          = {PUB:(DE-HGF)24},
      url          = {https://juser.fz-juelich.de/record/1044827},
}