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@ARTICLE{Linssen:1044420,
      author       = {Linssen, Charl and Babu, Pooja N. and Eppler, Jochen M. and
                      Koll, Luca and Rumpe, Bernhard and Morrison, Abigail},
      title        = {{NESTML}: a generic modeling language and code generation
                      tool for the simulation of spiking neural networks with
                      advanced plasticity rules},
      journal      = {Frontiers in neuroinformatics},
      volume       = {19},
      issn         = {1662-5196},
      address      = {Lausanne},
      publisher    = {Frontiers Research Foundation},
      reportid     = {FZJ-2025-03183},
      pages        = {1544143},
      year         = {2025},
      abstract     = {With increasing model complexity, models are typically
                      re-used and evolved rather than starting from scratch. There
                      is also a growing challenge in ensuring that these models
                      can seamlessly work across various simulation backends and
                      hardware platforms. This underscores the need to ensure that
                      models are easily findable, accessible, interoperable, and
                      reusable—adhering to the FAIR principles. NESTML addresses
                      these requirements by providing a domain-specific language
                      for describing neuron and synapse models that covers a wide
                      range of neuroscientific use cases. The language is
                      supported by a code generation toolchain that automatically
                      generates low-level simulation code for a given target
                      platform (for example, C++ code targeting NEST Simulator).
                      Code generation allows an accessible and easy-to-use
                      language syntax to be combined with good runtime simulation
                      performance and scalability. With an intuitive and highly
                      generic language, combined with the generation of efficient,
                      optimized simulation code supporting large-scale
                      simulations, it opens up neuronal network model development
                      and simulation as a research tool to a much wider community.
                      While originally developed in the context of NEST Simulator,
                      NESTML has been extended to target other simulation
                      platforms, such as the SpiNNaker neuromorphic hardware
                      platform. The processing toolchain is written in Python and
                      is lightweight and easily customizable, making it easy to
                      add support for new simulation platforms.},
      cin          = {JSC / IAS-6},
      ddc          = {610},
      cid          = {I:(DE-Juel1)JSC-20090406 / I:(DE-Juel1)IAS-6-20130828},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511) / 5232 - Computational
                      Principles (POF4-523) / SLNS - SimLab Neuroscience
                      (Helmholtz-SLNS) / JL SMHB - Joint Lab Supercomputing and
                      Modeling for the Human Brain (JL SMHB-2021-2027) / HBP SGA3
                      - Human Brain Project Specific Grant Agreement 3 (945539) /
                      DFG project G:(GEPRIS)491111487 -
                      Open-Access-Publikationskosten / 2025 - 2027 /
                      Forschungszentrum Jülich (OAPKFZJ) (491111487) / EBRAINS
                      2.0 - EBRAINS 2.0: A Research Infrastructure to Advance
                      Neuroscience and Brain Health (101147319)},
      pid          = {G:(DE-HGF)POF4-5111 / G:(DE-HGF)POF4-5232 /
                      G:(DE-Juel1)Helmholtz-SLNS / G:(DE-Juel1)JL SMHB-2021-2027 /
                      G:(EU-Grant)945539 / G:(GEPRIS)491111487 /
                      G:(EU-Grant)101147319},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {40535463},
      UT           = {WOS:001510526300001},
      doi          = {10.3389/fninf.2025.1544143},
      url          = {https://juser.fz-juelich.de/record/1044420},
}