% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Chen:906745,
      author       = {Chen, Xing and Morales-Gregorio, Aitor and Sprenger, Julia
                      and Kleinjohann, Alexander and Sridhar, Shashwat and van
                      Albada, Sacha J. and Grün, Sonja and Roelfsema, Pieter R.},
      title        = {1024-channel electrophysiological recordings in macaque
                      {V}1 and {V}4 during resting state},
      journal      = {Scientific data},
      volume       = {9},
      number       = {1},
      issn         = {2052-4436},
      address      = {London},
      publisher    = {Nature Publ. Group},
      reportid     = {FZJ-2022-01667},
      pages        = {77},
      year         = {2022},
      note         = {A large data set is published along this paper and can be
                      found here:
                      $https://gin.g-node.org/NIN/V1_V4_1024_electrode_resting_state_data$},
      abstract     = {Co-variations in resting state activity are thought to
                      arise from a variety of correlated inputs to neurons, such
                      as bottom-up activity from lower areas, feedback from higher
                      areas, recurrent processing in local circuits, and
                      fluctuations in neuromodulatory systems. Most studies have
                      examined resting state activity throughout the brain using
                      MRI scans, or observed local co-variations in activity by
                      recording from a small number of electrodes. We carried out
                      electrophysiological recordings from over a thousand
                      chronically implanted electrodes in the visual cortex of
                      non-human primates, yielding a resting state dataset with
                      unprecedentedly high channel counts and spatiotemporal
                      resolution. Such signals could be used to observe brain
                      waves across larger regions of cortex, offering a temporally
                      detailed picture of brain activity. In this paper, we
                      provide the dataset, describe the raw and processed data
                      formats and data acquisition methods, and indicate how the
                      data can be used to yield new insights into the
                      ‘background’ activity that influences the processing of
                      visual information in our brain.},
      cin          = {INM-6 / IAS-6 / INM-10},
      ddc          = {500},
      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) / 5235 -
                      Digitization of Neuroscience and User-Community Building
                      (POF4-523) / 571 - Connectivity and Activity (POF3-571) /
                      HBP SGA2 - Human Brain Project Specific Grant Agreement 2
                      (785907) / HBP SGA3 - Human Brain Project Specific Grant
                      Agreement 3 (945539) / NeuraViPeR - Neural Active Visual
                      Prosthetics for Restoring Function (899287) / GRK 2416 - GRK
                      2416: MultiSenses-MultiScales: Neue Ansätze zur Aufklärung
                      neuronaler multisensorischer Integration (368482240) /
                      $CORTIC_AL_GORITHMS$ - Cortical algorithms for perceptual
                      grouping (339490)},
      pid          = {G:(DE-HGF)POF4-5231 / G:(DE-HGF)POF4-5235 /
                      G:(DE-HGF)POF3-571 / G:(EU-Grant)785907 / G:(EU-Grant)945539
                      / G:(EU-Grant)899287 / G:(GEPRIS)368482240 /
                      G:(EU-Grant)339490},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:35277528},
      UT           = {WOS:000767813100002},
      doi          = {10.1038/s41597-022-01180-1},
      url          = {https://juser.fz-juelich.de/record/906745},
}