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@ARTICLE{Dbrowska:892086,
      author       = {Dąbrowska, Paulina Anna and Voges, Nicole and von Papen,
                      Michael and Ito, Junji and Dahmen, David and Riehle, Alexa
                      and Brochier, Thomas and Grün, Sonja},
      title        = {{O}n the complexity of resting state spiking activity in
                      monkey motor cortex},
      journal      = {Cerebral Cortex Communications},
      volume       = {2},
      number       = {3},
      issn         = {2632-7376},
      address      = {Oxford},
      publisher    = {Oxford University Press},
      reportid     = {FZJ-2021-01922},
      pages        = {tgab033},
      year         = {2021},
      abstract     = {Resting state has been established as a classical paradigm
                      of brain activity studies, mostly based on large scale
                      measurements such as fMRI or M/EEG. This term typically
                      refers to a behavioral state characterized by the absence of
                      any task or stimuli. The corresponding neuronal activity is
                      often called idle or ongoing. Numerous modeling studies on
                      spiking neural networks claim to mimic such idle states, but
                      compare their results to task– or stimulus-driven
                      experiments, or to results from experiments with
                      anesthetized subjects. Both approaches might lead to
                      misleading conclusions. To provide a proper basis for
                      comparing physiological and simulated network dynamics, we
                      characterize simultaneously recorded single neurons' spiking
                      activity in monkey motor cortex at rest and show the
                      differences from spontaneous and task– or stimulus-induced
                      movement conditions. We also distinguish between rest with
                      open eyes and sleepy rest with eyes closed. The resting
                      state with open eyes shows a significantly higher
                      dimensionality, reduced firing rates and less balance
                      between population level excitation and inhibition than
                      behavior-related states.},
      cin          = {INM-6 / IAS-6 / INM-10},
      ddc          = {300},
      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) / 5231 -
                      Neuroscientific Foundations (POF4-523) / DFG project
                      238707842 - Kausative Mechanismen mesoskopischer
                      Aktivitätsmuster in der auditorischen
                      Kategorien-Diskrimination (238707842) / HBP SGA1 - Human
                      Brain Project Specific Grant Agreement 1 (720270) / 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)POF4-5231 /
                      G:(GEPRIS)238707842 / G:(EU-Grant)720270 /
                      G:(EU-Grant)785907 / G:(EU-Grant)945539},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.1093/texcom/tgab033},
      url          = {https://juser.fz-juelich.de/record/892086},
}