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@ARTICLE{Schmidt:851363,
      author       = {Schmidt, Maximilian and Bakker, Rembrandt and Shen, Kelly
                      and Bezgin, Gleb and Diesmann, Markus and van Albada, Sacha
                      Jennifer},
      title        = {{A} multi-scale layer-resolved spiking network model of
                      resting-state dynamics in macaque visual cortical areas},
      journal      = {PLoS Computational Biology},
      volume       = {14},
      number       = {10},
      issn         = {1553-734X},
      address      = {San Francisco, Calif.},
      publisher    = {Public Library of Science},
      reportid     = {FZJ-2018-05048},
      pages        = {e1006359 -},
      year         = {2018},
      abstract     = {Cortical activity has distinct features across scales, from
                      the spiking statistics of individual cells to global
                      resting-state networks. We here describe the first
                      full-density multi-area spiking network model of cortex,
                      using macaque visual cortex as a test system. The model
                      represents each area by a microcircuit with area-specific
                      architecture and features layer- and population-resolved
                      connectivity between areas. Simulations reveal a structured
                      asynchronous irregular ground state. In a metastable regime,
                      the network reproduces spiking statistics from
                      electrophysiological recordings and cortico-cortical
                      interaction patterns in fMRI functional connectivity under
                      resting-state conditions. Stable inter-area propagation is
                      supported by cortico-cortical synapses that are moderately
                      strong onto excitatory neurons and stronger onto inhibitory
                      neurons. Causal interactions depend on both cortical
                      structure and the dynamical state of populations. Activity
                      propagates mainly in the feedback direction, similar to
                      experimental results associated with visual imagery and
                      sleep. The model unifies local and large-scale accounts of
                      cortex, and clarifies how the detailed connectivity of
                      cortex shapes its dynamics on multiple scales. Based on our
                      simulations, we hypothesize that in the spontaneous
                      condition the brain operates in a metastable regime where
                      cortico-cortical projections target excitatory and
                      inhibitory populations in a balanced manner that produces
                      substantial inter-area interactions while maintaining global
                      stability.},
      cin          = {INM-6 / INM-10 / IAS-6},
      ddc          = {570},
      cid          = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)INM-10-20170113 /
                      I:(DE-Juel1)IAS-6-20130828},
      pnm          = {571 - Connectivity and Activity (POF3-571) / 574 - Theory,
                      modelling and simulation (POF3-574) / HBP SGA2 - Human Brain
                      Project Specific Grant Agreement 2 (785907) / HBP SGA1 -
                      Human Brain Project Specific Grant Agreement 1 (720270) /
                      HBP - The Human Brain Project (604102) / SMHB -
                      Supercomputing and Modelling for the Human Brain
                      (HGF-SMHB-2013-2017) / Brain-Scale Simulations
                      $(jinb33_20121101)$ / SPP 2041 347572269 - Integration von
                      Multiskalen-Konnektivität und Gehirnarchitektur in einem
                      supercomputergestützten Modell der menschlichen
                      Großhirnrinde (347572269) / BRAINSCALES - Brain-inspired
                      multiscale computation in neuromorphic hybrid systems
                      (269921) / HBP - Human Brain Project (284941)},
      pid          = {G:(DE-HGF)POF3-571 / G:(DE-HGF)POF3-574 /
                      G:(EU-Grant)785907 / G:(EU-Grant)720270 / G:(EU-Grant)604102
                      / G:(DE-Juel1)HGF-SMHB-2013-2017 /
                      $G:(DE-Juel1)jinb33_20121101$ / G:(GEPRIS)347572269 /
                      G:(EU-Grant)269921 / G:(EU-Grant)284941},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:30335761},
      UT           = {WOS:000450712400004},
      doi          = {10.1371/journal.pcbi.1006359},
      url          = {https://juser.fz-juelich.de/record/851363},
}