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@ARTICLE{Dbrowska:877339,
      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},
      address      = {Cold Spring Harbor},
      publisher    = {Cold Spring Harbor Laboratory, NY},
      reportid     = {FZJ-2020-02151},
      year         = {2020},
      note         = {bioRxiv beta},
      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, which 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 and show the differences from spontaneous and
                      task-induced movement conditions. The resting state shows a
                      higher dimensionality, reduced firing rates and less balance
                      between population level excitation and inhibition than
                      behavior-related states. Additionally, our results stress
                      the importance of distinguishing between rest with eyes open
                      and closed.},
      cin          = {INM-6 / IAS-6 / INM-10},
      ddc          = {570},
      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) / 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)},
      pid          = {G:(DE-HGF)POF3-571 / G:(GEPRIS)238707842 /
                      G:(EU-Grant)720270 / G:(EU-Grant)785907},
      typ          = {PUB:(DE-HGF)25},
      doi          = {10.1101/2020.05.28.121095},
      url          = {https://juser.fz-juelich.de/record/877339},
}