{
  "id": "1507.05725",
  "version": "v1",
  "published": "2015-07-21T06:57:04.000Z",
  "updated": "2015-07-21T06:57:04.000Z",
  "title": "Transitions between spatial attractors in place-cell networks",
  "authors": [
    "R Monasson",
    "S Rosay"
  ],
  "comment": "to appear in Physical Review Letters; Supplemental Material available from the author's web page",
  "categories": [
    "cond-mat.stat-mech",
    "cond-mat.dis-nn"
  ],
  "abstract": "The spontaneous transitions between D-dimensional spatial maps in an attractor neural network are studied. Two scenarios for the transition from on map to another are found, depending on the level of noise: (1) through a mixed state, partly localized in both maps around positions where the maps are most similar; (2) through a weakly localized state in one of the two maps, followed by a condensation in the arrival map. Our predictions are confirmed by numerical simulations, and qualitatively compared to recent recordings of hippocampal place cells during quick-environment-changing experiments in rats.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2015-07-21T06:57:04.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "spatial attractors",
      "place-cell networks",
      "transition",
      "attractor neural network",
      "d-dimensional spatial maps"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}