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@MISC{Akar:1010228,
      author       = {Akar, Nora Abi and Biddiscombe, John and Cumming, Benjamin
                      and Kabic, Marko and Karakasis, Vasileios and Klijn, Wouter
                      and Küsters, Anne and Peyser, Alexander and Yates, Stuart
                      and Hater, Thorsten and Huisman, Brent and Hagen, Espen and
                      Schepper, Robin De and Linssen, Charl and Stoppels, Harmen
                      and Schmitt, Sebastian and Huber, Felix and Engelen, Max and
                      Bösch, Fabian and Luboeinski, Jannik and Frasch, Simon and
                      Drescher, Lukas and Landsmeer, Lennart},
      title        = {{A}rbor {L}ibrary (v0.9.0); 0.9.0},
      reportid     = {FZJ-2023-03030},
      year         = {2023},
      abstract     = {After much more delay than anticipated, we are very happy
                      to present a new Arbor release. Nearly 8 months of work is
                      in it, much of which focussed on speed, optimisation, fixes
                      and build system changes. This release includes Python 3.12
                      wheels as probably one of the first packages on PyPI.Major
                      new features:(1) External Connectivity: Arbor can now
                      interface with other simulators or processes through MPI.
                      Contexts now accept a second MPI communicator and Recipes
                      can implement a  $external_connections_on$  method to
                      specify how simulations might be interacting.  See
                      documentation for more. (2) Arbor now supports checkpointing
                      and resume from a previously stored checkpoint. Useful when
                      a certain point in time needs to be explored in multiple
                      directions, when you want to rewind to a previous state,
                      etc.  See documentation for more.(3) More painted
                      parameters are now scalable through  iexpr : temperature,
                      capacitance, resistivity, membrane potential and the
                      following ionic parameters: internal and external
                      concentration, diffusivity, and reversal potential.  See
                      documentation.(4) A set of ANN activation functions for
                      NMODL have been added:  sigmoid(x) ,  relu(x)  and 
                      tanh(x) . Control volume  area  is exposed through
                      NMODL.(5) A revamped backend for ARM CPU's that support
                      Scalable Vector Extension (SVE). Arbor and modcc are now
                      fully compatible, so users who have access to A64FX-based
                      HPC can take full advantage of that hardware.},
      keywords     = {neuroscience (Other) / computational neuroscience (Other) /
                      morpholically detailed simulator (Other)},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511) / HBP SGA3 - Human
                      Brain Project Specific Grant Agreement 3 (945539) / SLNS -
                      SimLab Neuroscience (Helmholtz-SLNS)},
      pid          = {G:(DE-HGF)POF4-5111 / G:(EU-Grant)945539 /
                      G:(DE-Juel1)Helmholtz-SLNS},
      typ          = {PUB:(DE-HGF)33},
      doi          = {10.5281/ZENODO.8233847},
      url          = {https://juser.fz-juelich.de/record/1010228},
}