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@ARTICLE{Dahmen:885730,
      author       = {Dahmen, David and Layer, Moritz and Deutz, Lukas and
                      Dąbrowska, Paulina Anna and Voges, Nicole and von Papen,
                      Michael and Brochier, Thomas and Riehle, Alexa and Diesmann,
                      Markus and Grün, Sonja and Helias, Moritz},
      title        = {{L}ong-range coordination patterns in cortex change with
                      behavioral context},
      reportid     = {FZJ-2020-04042},
      year         = {2020},
      abstract     = {Cortical connectivity mostly stems from local axonal
                      arborizations, suggesting coordination is strongest between
                      nearby neurons in the range of a few hundred micrometers.
                      Yet multi-electrode recordings of resting-state activity in
                      macaque motor cortex show strong positive and negative
                      spike-count covariances between neurons that are millimeters
                      apart. Here we show that such covariance patterns naturally
                      arise in balanced network models operating close to an
                      instability where neurons interact via indirect connections,
                      giving rise to long-range correlations despite short-range
                      connections. A quantitative theory explains the observed
                      shallow exponential decay of the width of the covariance
                      distribution at long distances. Long-range cooperation via
                      this mechanism is not imprinted in specific connectivity
                      structures but rather results dynamically from the network
                      state. As a consequence, neuronal coordination patterns are
                      not static but can change in a state-dependent manner, which
                      we demonstrate by comparing different behavioral epochs of a
                      reach-to-grasp experiment.},
      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) / MSNN - Theory of
                      multi-scale neuronal networks (HGF-SMHB-2014-2018) / HBP
                      SGA2 - Human Brain Project Specific Grant Agreement 2
                      (785907) / HBP SGA3 - Human Brain Project Specific Grant
                      Agreement 3 (945539)},
      pid          = {G:(DE-HGF)POF3-571 / G:(DE-HGF)POF3-574 /
                      G:(DE-Juel1)HGF-SMHB-2014-2018 / G:(EU-Grant)785907 /
                      G:(EU-Grant)945539},
      typ          = {PUB:(DE-HGF)25},
      doi          = {10.1101/2020.07.15.205013},
      url          = {https://juser.fz-juelich.de/record/885730},
}