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@MISC{Layer:906126,
      author       = {Layer, Moritz and Senk, Johanna and Essink, Simon and van
                      Meegen, Alexander and Bos, Hannah and Helias, Moritz},
      title        = {{N}euronal {N}etwork {M}eanfield {T}oolbox ({NNMT}) 1.0.0;
                      1.0.0},
      reportid     = {FZJ-2022-01242},
      year         = {2021},
      abstract     = {The Neuronal Network Meanfield Toolbox NNMT is an
                      open-source, community centered Python package for
                      collecting reusable implementations of analytical methods
                      for neuronal network model analysis based on mean-field
                      theory. For full information visit the repository
                      https://github.com/INM-6/nnmt or the official documentation
                      https://nnmt.readthedocs.io/en/latest/},
      cin          = {INM-6 / IAS-6 / INM-10},
      cid          = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)IAS-6-20130828 /
                      I:(DE-Juel1)INM-10-20170113},
      pnm          = {5231 - Neuroscientific Foundations (POF4-523) / 5235 -
                      Digitization of Neuroscience and User-Community Building
                      (POF4-523) / HBP SGA1 - Human Brain Project Specific Grant
                      Agreement 1 (720270) / HBP SGA2 - Human Brain Project
                      Specific Grant Agreement 2 (785907) / HBP SGA3 - Human Brain
                      Project Specific Grant Agreement 3 (945539) / GRK 2416: 
                      MultiSenses-MultiScales: Novel approaches to decipher neural
                      processing in multisensory integration (368482240) / JL SMHB
                      - Joint Lab Supercomputing and Modeling for the Human Brain
                      (JL SMHB-2021-2027) / MSNN - Theory of multi-scale neuronal
                      networks (HGF-SMHB-2014-2018) / GRK 2416 - GRK 2416:
                      MultiSenses-MultiScales: Neue Ansätze zur Aufklärung
                      neuronaler multisensorischer Integration (368482240)},
      pid          = {G:(DE-HGF)POF4-5231 / G:(DE-HGF)POF4-5235 /
                      G:(EU-Grant)720270 / G:(EU-Grant)785907 / G:(EU-Grant)945539
                      / G:(GEPRIS)368482240 / G:(DE-Juel1)JL SMHB-2021-2027 /
                      G:(DE-Juel1)HGF-SMHB-2014-2018 / G:(GEPRIS)368482240},
      typ          = {PUB:(DE-HGF)33},
      doi          = {10.5281/ZENODO.5779549},
      url          = {https://juser.fz-juelich.de/record/906126},
}