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@INPROCEEDINGS{Aimovi:908965,
      author       = {Aćimović, Jugoslava and Jiang, Han-Jia and Stapmanns,
                      Jonas and Manninen, Tiina and Lehtimäki, Mikko and Linne,
                      Marja-Leena and Diesmann, Markus and van Albada, Sacha J.},
      title        = {{C}omputational modeling of neuron-astrocyte interactions
                      in large neural populations using the {NEST} simulator},
      reportid     = {FZJ-2022-02921},
      year         = {2022},
      abstract     = {Astrocytes,the most abundant glial type in the cortex,
                      interact with neighboring synapses,neurons and glia through
                      complex cellular machinery (Bazargani et al.,
                      2016).Astrocytes form mostly nonoverlapping microdomains,
                      and a single suchmicrodomain can be reached by several
                      hundreds of neurons and as many as~100,000 synapses (Zisis
                      et al., 2021). Experimental studies have
                      demonstratedcoordinated neuronal and astrocytic activity
                      invivo (Lines et al., 2020). Computational methods can help
                      to integratethe data on cellular mechanisms and structural
                      organization of the corticaltissue, and to explore how
                      neuron-astrocyte interactions modulatepopulation-level
                      activity. In the past two decades, the number of
                      publishedcomputational models that include some form of
                      neuron-astrocyte interaction hasbeen steadily increasing
                      (Manninen et al., 2018; Manninen, Aćimović etal., 2018).
                      The majority of the published models was implemented in
                      custom madecode that is often not publicly available.
                      Implementing these models in wellestablished open source
                      simulation tools improves reproducibility of theresults and
                      sharing of the models (Manninen et al., 2018; Manninen,
                      Acimovic etal., 2018). Two earlier efforts to develop open
                      source tools for simulation ofneuronal and glial networks
                      include Arachne (Aleksin et al., 2017), and animplementation
                      in the Brian simulator (Stimberg et al., 2019). We developed
                      a new solution for efficient simulationof large
                      heterogeneous populations of neurons and astrocytes
                      implemented as a module in theNEST simulator
                      (https://www.nest-simulator.org/). We first extended
                      theconcept of a synapse in NEST to include interaction
                      between three compartments,pre- and postsynaptic neurons and
                      the neighboring astrocytic compartment. Next,we developed
                      new method to establish efficiently interactions within a
                      largeheterogeneous cellular population of neurons and
                      astrocytes. Finally, we testedthe new tool by analyzing
                      spontaneous activity regimes in medium-size networkscomposed
                      of several hundreds of cells. In summary, we present a new
                      module for NEST simulator that supports reproducible, open
                      access and efficient development of computational models for
                      large heterogeneous populations of neurons and astrocytes.},
      month         = {Jul},
      date          = {2022-07-16},
      organization  = {31st Annual Computational Neuroscience
                       Meeting, Melbourne (Australia), 16 Jul
                       2022 - 20 Jul 2022},
      subtyp        = {After Call},
      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) / HBP SGA3 -
                      Human Brain Project Specific Grant Agreement 3 (945539)},
      pid          = {G:(DE-HGF)POF4-5231 / G:(EU-Grant)945539},
      typ          = {PUB:(DE-HGF)24},
      url          = {https://juser.fz-juelich.de/record/908965},
}