{
  "id": "1007.5465",
  "version": "v1",
  "published": "2010-07-30T14:48:05.000Z",
  "updated": "2010-07-30T14:48:05.000Z",
  "title": "The Physics of Living Neural Networks",
  "authors": [
    "Jean-Pierre Eckmann",
    "Ofer Feinerman",
    "Leor Gruendlinger",
    "Elisha Moses",
    "Jordi Soriano",
    "Tsvi Tlusty"
  ],
  "comment": "PACS: 87.18.Sn, 87.19.La, 87.80.-y, 87.80.Xa, 64.60.Ak Keywords: complex systems, neuroscience, neural networks, transport of information, neural connectivity, percolation http://www.weizmann.ac.il/complex/tlusty/papers/PhysRep2007.pdf http://www.weizmann.ac.il/complex/EMoses/pdf/PhysRep-448-56.pdf",
  "journal": "Physics Reports Volume 449, Issues 1-3, September 2007, Pages 54-76",
  "doi": "10.1016/j.physrep.2007.02.014",
  "categories": [
    "cond-mat.dis-nn",
    "physics.bio-ph",
    "q-bio.NC"
  ],
  "abstract": "Improvements in technique in conjunction with an evolution of the theoretical and conceptual approach to neuronal networks provide a new perspective on living neurons in culture. Organization and connectivity are being measured quantitatively along with other physical quantities such as information, and are being related to function. In this review we first discuss some of these advances, which enable elucidation of structural aspects. We then discuss two recent experimental models that yield some conceptual simplicity. A one-dimensional network enables precise quantitative comparison to analytic models, for example of propagation and information transport. A two-dimensional percolating network gives quantitative information on connectivity of cultured neurons. The physical quantities that emerge as essential characteristics of the network in vitro are propagation speeds, synaptic transmission, information creation and capacity. Potential application to neuronal devices is discussed.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2010-07-30T14:48:05.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "living neural networks",
      "network enables precise quantitative comparison",
      "information",
      "one-dimensional network enables precise quantitative",
      "physical quantities"
    ],
    "tags": [
      "journal article",
      "review article"
    ],
    "publication": {
      "publisher": "Elsevier",
      "journal": "Physics Reports",
      "year": 2007,
      "month": "Sep",
      "volume": 449,
      "number": "1-3",
      "pages": 54
    },
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable",
      "adsabs": "2007PhR...449...54E"
    }
  }
}