{
  "annotation_id": "4cc90703-145d-48b5-b6af-8261dd5d0229",
  "date_created": "2026-03-02T18:01:35.385000Z",
  "date_modified": "2026-03-02T18:01:35.385000Z",
  "file_hash": "6d640b89775d3c4cef92c8116c503cd6fed438f6271648c620358274a81aeb41",
  "private": false,
  "record": {
    "abstract": "We review different aspects of the simulation of spiking neural networks. We\nstart by reviewing the different types of simulation strategies and algorithms\nthat are currently implemented. We next review the precision of those\nsimulation strategies, in particular in cases where plasticity depends on the\nexact timing of the spikes. We overview different simulators and simulation\nenvironments presently available (restricted to those freely available, open\nsource and documented). For each simulation tool, its advantages and pitfalls\nare reviewed, with an aim to allow the reader to identify which simulator is\nappropriate for a given task. Finally, we provide a series of benchmark\nsimulations of different types of networks of spiking neurons, including\nHodgkin-Huxley type, integrate-and-fire models, interacting with current-based\nor conductance-based synapses, using clock-driven or event-driven integration\nstrategies. The same set of models are implemented on the different simulators,\nand the codes are made available. The ultimate goal of this review is to\nprovide a resource to facilitate identifying the appropriate integration\nstrategy and simulation tool to use for a given modeling problem related to\nspiking neural networks.",
    "arxiv_id": "q-bio/0611089",
    "authors": [
      "R. Brette",
      "M. Rudolph",
      "T. Carnevale",
      "M. Hines",
      "D. Beeman",
      "J. M. Bower",
      "M. Diesmann",
      "A. Morrison",
      "P. H. Goodman",
      "F. C. Harris Jr.",
      "M. Zirpe",
      "T. Natschlager",
      "D. Pecevski",
      "B. Ermentrout",
      "M. Djurfeldt",
      "A. Lansner",
      "O. Rochel",
      "T. Vieville",
      "E. Muller",
      "A. P. Davison",
      "S. El Boustani",
      "A. Destexhe"
    ],
    "categories": [
      "q-bio.NC"
    ],
    "journal_ref": "Journal of Computational Neuroscience 2007 Dec;23(3):349-98. Epub\n  2007 Jul 12",
    "title": "Simulation of networks of spiking neurons: A review of tools and   strategies",
    "url": "https://arxiv.org/abs/q-bio/0611089"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "09492ef6-2843-4312-91f4-0ec7d9bea6f1",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}