{
  "id": "cond-mat/9710352",
  "version": "v1",
  "published": "1997-10-01T08:36:15.000Z",
  "updated": "1997-10-01T08:36:15.000Z",
  "title": "Self-Wiring of Neural Networks",
  "authors": [
    "Ronen Segev",
    "Eshel Ben-Jacob"
  ],
  "comment": "10 pages, 10 PostScript figures. Originally submitted to the neuro-dev archive which was never publicly announced (was 9710001)",
  "doi": "10.1016/S0375-9601(97)00870-0",
  "categories": [
    "cond-mat.dis-nn",
    "q-bio.NC"
  ],
  "abstract": "In order to form the intricate network of synaptic connections in the brain, the growth cones migrate through the embryonic environment to their targets using chemical communication. As a first step to study self-wiring, 2D model systems of neurons have been used. We present a simple model to reproduce the salient features of the 2D systems. The model incorporates random walkers representing the growth cones, which migrate in response to chemotaxis substances extracted by the soma and communicate with each other and with the soma by means of attractive chemotactic \"feedback\".",
  "revisions": [
    {
      "version": "v1",
      "updated": "1997-10-01T08:36:15.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "neural networks",
      "model incorporates random walkers representing",
      "growth cones migrate",
      "2d model systems",
      "self-wiring"
    ],
    "tags": [
      "journal article"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 10,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}