{
  "id": "cond-mat/0201206",
  "version": "v1",
  "published": "2002-01-14T05:59:28.000Z",
  "updated": "2002-01-14T05:59:28.000Z",
  "title": "Dynamical Characteristics of a Hodgkin-Huxley neuron",
  "authors": [
    "Huijie Yang",
    "Fangcui Zhao",
    "Yizhong Zhuo",
    "Xizhen Wu",
    "Zhuxia Li"
  ],
  "comment": "15 pages, 2 figures",
  "categories": [
    "cond-mat.dis-nn",
    "cond-mat.mes-hall",
    "q-bio"
  ],
  "abstract": "By means of the concepts of factorial moment, return map and NM estimator, we analyze some responses of a HH neuron to various types of spike-train inputs. The corresponding fractal dimensions and values of NM estimators can describe the correlation characteristics quantitatively. It is found that all the intervals of successive output spikes may obey a power-law for some conditions. And in time scale the output series for a HH model for each type of inputs is correlated with typical correlation length and correlation strength. These power-law and correlation characteristics may be useful in the coding and decoding process of HH neurons. These concepts may distinguish different inputs quantitatively. PACS number(s): 87.18.Sn, 84.35.+i, 05.45.Tp",
  "revisions": [
    {
      "version": "v1",
      "updated": "2002-01-14T05:59:28.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "hodgkin-huxley neuron",
      "dynamical characteristics",
      "correlation characteristics",
      "hh neuron",
      "nm estimator"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 15,
      "language": "en",
      "license": "arXiv",
      "status": "editable",
      "adsabs": "2002cond.mat..1206Y"
    }
  }
}