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@ARTICLE{KorcsakGorzo:906981,
      author       = {Korcsak-Gorzo, Agnes and Müller, Michael G. and Baumbach,
                      Andreas and Leng, Luziwei and Breitwieser, Oliver J. and van
                      Albada, Sacha J. and Senn, Walter and Meier, Karlheinz and
                      Legenstein, Robert and Petrovici, Mihai A.},
      title        = {{C}ortical oscillations support sampling-based computations
                      in spiking neural networks},
      journal      = {PLoS Computational Biology},
      volume       = {18},
      issn         = {1553-734X},
      address      = {San Francisco, Calif.},
      publisher    = {Public Library of Science},
      reportid     = {FZJ-2022-01794},
      pages        = {3, 1-41},
      year         = {2022},
      abstract     = {Being permanently confronted with an uncertain world,
                      brains have faced evolutionary pressure to represent this
                      uncertainty in order to respond appropriately. Often, this
                      requires visiting multiple interpretations of the available
                      information or multiple solutions to an encountered problem.
                      This gives rise to the so-called mixing problem: since all
                      of these “valid” states represent powerful attractors,
                      but between themselves can be very dissimilar, switching
                      between such states can be difficult. We propose that
                      cortical oscillations can be effectively used to overcome
                      this challenge. By acting as an effective temperature,
                      background spiking activity modulates exploration. Rhythmic
                      changes induced by cortical oscillations can then be
                      interpreted as a form of simulated tempering. We provide a
                      rigorous mathematical discussion of this link and study some
                      of its phenomenological implications in computer
                      simulations. This identifies a new computational role of
                      cortical oscillations and connects them to various phenomena
                      in the brain, such as sampling-based probabilistic
                      inference, memory replay, multisensory cue combination, and
                      place cell flickering.},
      cin          = {INM-6 / IAS-6 / INM-10},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)IAS-6-20130828 /
                      I:(DE-Juel1)INM-10-20170113},
      pnm          = {5232 - Computational Principles (POF4-523) / HBP SGA3 -
                      Human Brain Project Specific Grant Agreement 3 (945539) /
                      HBP SGA2 - Human Brain Project Specific Grant Agreement 2
                      (785907) / HBP SGA1 - Human Brain Project Specific Grant
                      Agreement 1 (720270) / ACA - Advanced Computing
                      Architectures (SO-092) / Open-Access-Publikationskosten
                      Forschungszentrum Jülich (OAPKFZJ) (491111487)},
      pid          = {G:(DE-HGF)POF4-5232 / G:(EU-Grant)945539 /
                      G:(EU-Grant)785907 / G:(EU-Grant)720270 / G:(DE-HGF)SO-092 /
                      G:(GEPRIS)491111487},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:35324886},
      UT           = {WOS:000781624200007},
      doi          = {10.1371/journal.pcbi.1009753},
      url          = {https://juser.fz-juelich.de/record/906981},
}