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@INPROCEEDINGS{Pronold:1042899,
      author       = {Pronold, Jari and van Meegen, Alexander and Shimoura, Renan
                      and Vollenbröker, Hannah and Senden, Mario and Hilgetag, C.
                      C. 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-2025-02699},
      year         = {2025},
      abstract     = {Data-driven models at cellular resolution exist for various
                      brain regions, yet few for human cortex. We present a
                      comprehensive point-neuron network model of a human cortical
                      hemisphere that integrates diverse experimental data into a
                      unified framework bridging cellular and network scales [1].
                      Like a previous large-scale spiking model of macaque cortex
                      [2,3], our work investigates how resting-state activity
                      emerges in cortical networks.The model represents one
                      hemisphere via the Desikan-Killiany parcellation (34 areas),
                      with each area implemented as a 1 mm² microcircuit that
                      distinguishes cortical layers. It aggregates multimodal
                      data, 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] guide layer-specific inter-area
                      connectivity. The full-density model, comprising 3.47
                      million leaky integrate-and-fire neurons and 42.8 billion
                      synapses, was simulated using NEST on the JURECA-DC
                      supercomputer.Simulations show that equal strength for local
                      and inter-area synapses yields asynchronous irregular
                      activity that deviates from experimental observations. When
                      inter-area connections are strengthened relative to local
                      synapses, both microscopic spiking statistics from human
                      medial frontal cortex and macroscopic resting-state fMRI
                      correlations are reproduced [8]. In the latter scenario,
                      consistent with empirical findings during visual imagery
                      [9], sustained activity flows primarily from parietal
                      through occipital and temporal to frontal areas.This
                      open-source model enables systematic exploration of
                      structure-dynamics relationships. Future work may leverage
                      the Julich-Brain Atlas to refine the parcellation and
                      incorporate detailed cytoarchitectural and receptor data
                      [10]. The model code is available at
                      https://github.com/INM-6/human-multi-area-model.},
      month         = {May},
      date          = {2025-05-27},
      organization  = {IAS Retreat 2025, Jülich (Germany),
                       27 May 2025 - 27 May 2025},
      subtyp        = {Other},
      cin          = {IAS-6},
      cid          = {I:(DE-Juel1)IAS-6-20130828},
      pnm          = {5231 - Neuroscientific Foundations (POF4-523) / 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) / $HiRSE_PS$ - Helmholtz Platform for
                      Research Software Engineering - Preparatory Study
                      $(HiRSE_PS-20220812)$ / Brain-Scale Simulations
                      $(jinb33_20220812)$ / DFG project G:(GEPRIS)491111487 -
                      Open-Access-Publikationskosten / 2025 - 2027 /
                      Forschungszentrum Jülich (OAPKFZJ) (491111487)},
      pid          = {G:(DE-HGF)POF4-5231 / G:(EU-Grant)945539 /
                      G:(EU-Grant)101147319 / G:(DE-Juel1)JL SMHB-2021-2027 /
                      $G:(DE-Juel-1)HiRSE_PS-20220812$ /
                      $G:(DE-Juel1)jinb33_20220812$ / G:(GEPRIS)491111487},
      typ          = {PUB:(DE-HGF)24},
      doi          = {10.34734/FZJ-2025-02699},
      url          = {https://juser.fz-juelich.de/record/1042899},
}