{
  "id": "cond-mat/0701138",
  "version": "v1",
  "published": "2007-01-08T09:20:52.000Z",
  "updated": "2007-01-08T09:20:52.000Z",
  "title": "Effects of degree distribution in mutual synchronization of neural networks",
  "authors": [
    "Sheng-Jun Wang",
    "Xin-Jian Xu",
    "Zhi-Xi Wu",
    "Ying-Hai Wang"
  ],
  "comment": "5 pages, 4 figures",
  "journal": "Physical Review E 74, 041915 (2006)",
  "doi": "10.1103/PhysRevE.74.041915",
  "categories": [
    "cond-mat.dis-nn"
  ],
  "abstract": "We study the effects of the degree distribution in mutual synchronization of two-layer neural networks. We carry out three coupling strategies: large-large coupling, random coupling, and small-small coupling. By computer simulations and analytical methods, we find that couplings between nodes with large degree play an important role in the synchronization. For large-large coupling, less couplings are needed for inducing synchronization for both random and scale-free networks. For random coupling, cutting couplings between nodes with large degree is very efficient for preventing neural systems from synchronization, especially when subnetworks are scale-free.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2007-01-08T09:20:52.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "degree distribution",
      "mutual synchronization",
      "large degree play",
      "two-layer neural networks",
      "random coupling"
    ],
    "tags": [
      "journal article"
    ],
    "publication": {
      "publisher": "APS",
      "journal": "Phys. Rev. E"
    },
    "note": {
      "typesetting": "TeX",
      "pages": 5,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}