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@ARTICLE{KorcsakGorzo:890892,
      author       = {Korcsak-Gorzo, Agnes and Müller, Michael G. and Baumbach,
                      Andreas and Leng, Luziwei and Breitwieser, Oliver Julien and
                      van Albada, Sacha J. and Senn, Walter and Meier, Karlheinz
                      and Legenstein, Robert and Petrovici, Mihai A.},
      title        = {{C}ortical oscillations implement a backbone for
                      sampling-based computation in spiking neural networks},
      issn         = {-},
      reportid     = {FZJ-2021-01223},
      year         = {2021},
      note         = {28 pages, 11 figures},
      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 SGA2 -
                      Human Brain Project Specific Grant Agreement 2 (785907) /
                      HBP SGA3 - Human Brain Project Specific Grant Agreement 3
                      (945539) / JL SMHB - Joint Lab Supercomputing and Modeling
                      for the Human Brain (JL SMHB-2021-2027)},
      pid          = {G:(DE-HGF)POF4-5232 / G:(EU-Grant)785907 /
                      G:(EU-Grant)945539 / G:(DE-Juel1)JL SMHB-2021-2027},
      typ          = {PUB:(DE-HGF)25},
      eprint       = {2006.11099},
      howpublished = {arXiv:2006.11099},
      archivePrefix = {arXiv},
      SLACcitation = {$\%\%CITATION$ = $arXiv:2006.11099;\%\%$},
      url          = {https://juser.fz-juelich.de/record/890892},
}