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@ARTICLE{Hahne:205104,
      author       = {Hahne, Jan and Helias, Moritz and Kunkel, Susanne and
                      Igarashi, Jun and Bolten, Matthias and Frommer, Andreas and
                      Diesmann, Markus},
      title        = {{A} unified framework for spiking and gap-junction
                      interactions in distributed neuronal network simulations},
      journal      = {Frontiers in computational neuroscience},
      volume       = {9},
      number       = {22},
      issn         = {1662-5188},
      address      = {Lausanne},
      publisher    = {Frontiers Research Foundation},
      reportid     = {FZJ-2015-05574},
      pages        = {00022},
      year         = {2015},
      abstract     = {Contemporary simulators for networks of point and
                      few-compartment model neurons come with a plethora of
                      ready-to-use neuron and synapse models and support complex
                      network topologies. Recent technological advancements have
                      broadened the spectrum of application further to the
                      efficient simulation of brain-scale networks on
                      supercomputers. In distributed network simulations the
                      amount of spike data that accrues per millisecond and
                      process is typically low, such that a common optimization
                      strategy is to communicate spikes at relatively long
                      intervals, where the upper limit is given by the shortest
                      synaptic transmission delay in the network. This approach is
                      well-suited for simulations that employ only chemical
                      synapses but it has so far impeded the incorporation of
                      gap-junction models, which require instantaneous neuronal
                      interactions. Here, we present a numerical algorithm based
                      on a waveform-relaxation technique which allows for network
                      simulations with gap junctions in a way that is compatible
                      with the delayed communication strategy. Using a reference
                      implementation in the NEST simulator, we demonstrate that
                      the algorithm and the required data structures can be
                      smoothly integrated with existing code such that they
                      complement the infrastructure for spiking connections. We
                      show that the unified framework for gap-junction and spiking
                      interactions achieves high performance and delivers high
                      accuracy.},
      cin          = {INM-6 / IAS-6 / JSC / NIC},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)IAS-6-20130828 /
                      I:(DE-Juel1)JSC-20090406 / I:(DE-Juel1)NIC-20090406},
      pnm          = {574 - Theory, modelling and simulation (POF3-574) / 511 -
                      Computational Science and Mathematical Methods (POF3-511) /
                      HBP - The Human Brain Project (604102) / MSNN - Theory of
                      multi-scale neuronal networks (HGF-SMHB-2014-2018) /
                      BTN-Peta - The Next-Generation Integrated Simulation of
                      Living Matter (BTN-Peta-2008-2012) / BRAINSCALES -
                      Brain-inspired multiscale computation in neuromorphic hybrid
                      systems (269921) / Scalable solvers for linear systems and
                      time-dependent problems $(hwu12_20141101)$ / SLNS - SimLab
                      Neuroscience (Helmholtz-SLNS)},
      pid          = {G:(DE-HGF)POF3-574 / G:(DE-HGF)POF3-511 /
                      G:(EU-Grant)604102 / G:(DE-Juel1)HGF-SMHB-2014-2018 /
                      G:(DE-Juel1)BTN-Peta-2008-2012 / G:(EU-Grant)269921 /
                      $G:(DE-Juel1)hwu12_20141101$ / G:(DE-Juel1)Helmholtz-SLNS},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000370609700001},
      pubmed       = {pmid:26441628},
      doi          = {10.3389/fninf.2015.00022},
      url          = {https://juser.fz-juelich.de/record/205104},
}