{
  "annotation_id": "76e96db4-6848-4206-ba2a-aa1623b6f030",
  "date_created": "2026-03-02T18:01:31.798000Z",
  "date_modified": "2026-03-02T18:01:31.798000Z",
  "file_hash": "173a0b67751519b74beefecb8dee78c19a68dbbc2246344095f063b9db60d3dc",
  "private": false,
  "record": {
    "abstract": "To find out the role of the wiring cost in the organization of the neural\nnetwork of the nematode \\textit{Caenorhapditis elegans} (\\textit{C. elegans}),\nwe build the neuronal map of \\textit{C. elegans} based on geometrical positions\nof neurons and define the cost as inter-neuronal Euclidean distance \\textit{d}.\nWe show that the wiring probability decays exponentially as a function of\n\\textit{d}. Using the edge exchanging method and the component placement\noptimization scheme, we show that positions of neurons are not randomly\ndistributed but organized to reduce the total wiring cost. Furthermore, we\nnumerically study the trade-off between the wiring cost and the performance of\nthe Hopfield model on the neural network.",
    "arxiv_id": "q-bio/0505009",
    "authors": [
      "Yong-Yeol Ahn",
      "Beom Jun Kim",
      "Hawoong Jeong"
    ],
    "categories": [
      "q-bio.NC"
    ],
    "doi": "10.1016/j.physa.2005.12.013",
    "title": "Wiring cost in the organization of a biological network",
    "url": "https://arxiv.org/abs/q-bio/0505009"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "a417ea98-5f02-41d1-9999-23b55e24177b",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}