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@INPROCEEDINGS{Dahmen:889319,
      author       = {Dahmen, David and Layer, Moritz and Deutz, Lukas and
                      Dabrowska, Paulina 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-2021-00211},
      year         = {2021},
      abstract     = {The cerebral cortex is a network of subnetworks that is
                      organized onvarious spatial scales. Understanding how
                      neurons communicate at thedifferent scales is crucial for
                      understanding brain dynamics andfunction. On the microscopic
                      scale the connectivity stems mostly fromlocal axonal
                      arborizations, suggesting coordination is strongestbetween
                      nearby neurons in the range of a few hundred micrometers.
                      Yetrecent studies found activity of neurons across much
                      larger distancesto be organized in manifolds. The emergence
                      of such manifolds relieson complex coordination patterns
                      between neurons. We here analyzemulti-electrode recordings
                      of resting-state activity in macaque motorcortex that indeed
                      show strong positive and negative spike-countcovariances
                      between neurons that are millimeters apart. To understandthe
                      origin of such coordination we develop a conceptually
                      novelnetwork theory that combines the spatial extent and
                      heterogeneity ofthe connectivity with fluctuations of
                      activity treated beyond themean-field approximation. This
                      quantitative theory uncovers a simpleand ubiquitous
                      mechanism that generates long-range correlationpatterns
                      despite short-range connections: the heterogeneity
                      ofconnections causes a dynamical network state that
                      emphasizescooperation of neurons by multi-synaptic
                      interactions. The mechanismdoes not rely on specific
                      connectivity structures, but emerges inspatially organized
                      networks with even random connectivity. The theorynot only
                      explains the experimentally observed shallow
                      exponentialdecay of the width of the covariance distribution
                      at long distances,but also predicts that neuronal
                      coordination patterns can change in astate-dependent manner.
                      We confirm this prediction by comparingactivity in macaque
                      motor cortex across different behavioral epochs ofa
                      reach-to-grasp experiment. Our results explain how
                      spatiallyextended neural manifolds can emerge from the local
                      networkconnectivity.},
      month         = {Jan},
      date          = {2021-01-11},
      organization  = {SfN Global Connectome, virtual
                       (worldwide), 11 Jan 2021 - 13 Jan 2021},
      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          = {5231 - Neuroscientific Foundations (POF4-523) / 5232 -
                      Computational Principles (POF4-523) / MSNN - Theory of
                      multi-scale neuronal networks (HGF-SMHB-2014-2018) / HBP
                      SGA2 - Human Brain Project Specific Grant Agreement 2
                      (785907) / GRK 2416 - GRK 2416: MultiSenses-MultiScales:
                      Neue Ansätze zur Aufklärung neuronaler multisensorischer
                      Integration (368482240) / HBP SGA3 - Human Brain Project
                      Specific Grant Agreement 3 (945539)},
      pid          = {G:(DE-HGF)POF4-5231 / G:(DE-HGF)POF4-5232 /
                      G:(DE-Juel1)HGF-SMHB-2014-2018 / G:(EU-Grant)785907 /
                      G:(GEPRIS)368482240 / G:(EU-Grant)945539},
      typ          = {PUB:(DE-HGF)24},
      url          = {https://juser.fz-juelich.de/record/889319},
}