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@INPROCEEDINGS{Tetzlaff:844705,
      author       = {Tetzlaff, Tom and Jordan, Jakob and Petrovici, Mihai A. and
                      Breitwieser, Oliver and Schemmle, Johannes and Meier,
                      Karlheinz and Diesmann, Markus},
      title        = {{D}eterministic networks for probabilistic computing},
      reportid     = {FZJ-2018-02087},
      year         = {2018},
      abstract     = {Neuronal-network models of high-level brain function often
                      rely on the presence of stochasticity. The majority of these
                      models assumes that each neuron is equipped with its own
                      private source of randomness, often in the form of
                      uncorrelated external noise. In biological neuronal
                      networks, the origin of this noise remains unclear. In
                      hardware implementations, the number of noise sources is
                      limited due to space and bandwidth constraints. Hence,
                      neurons in large networks have to share noise sources. We
                      show that the resulting shared-noise correlations can
                      significantly impair the computational performance of
                      stochastic neuronal networks, but that this problem is
                      naturally overcome by generating noise with deterministic
                      recurrent neuronal networks. By virtue of the decorrelating
                      effect of inhibitory feedback, a network of a few hundred
                      neurons can serve as a natural source of uncorrelated noise
                      for large ensembles of functional networks, each comprising
                      thousands of units.},
      month         = {Mar},
      date          = {2018-03-19},
      organization  = {Beyond Digital Computing 2018,
                       Heidelberg (Germany), 19 Mar 2018 - 21
                       Mar 2018},
      cin          = {INM-6 / IAS-6 / JARA-FIT / INM-10},
      cid          = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)IAS-6-20130828 /
                      $I:(DE-82)080009_20140620$ / I:(DE-Juel1)INM-10-20170113},
      pnm          = {574 - Theory, modelling and simulation (POF3-574) / SMHB -
                      Supercomputing and Modelling for the Human Brain
                      (HGF-SMHB-2013-2017) / HBP SGA1 - Human Brain Project
                      Specific Grant Agreement 1 (720270)},
      pid          = {G:(DE-HGF)POF3-574 / G:(DE-Juel1)HGF-SMHB-2013-2017 /
                      G:(EU-Grant)720270},
      typ          = {PUB:(DE-HGF)1},
      url          = {https://juser.fz-juelich.de/record/844705},
}