• DocumentCode
    1077718
  • Title

    Fractal patterns in auditory nerve-spike trains

  • Author

    Teich, Malvin C. ; Lowen, Steven B.

  • Author_Institution
    Dept. of Electr. Eng., Columbia Univ., NY, USA
  • Volume
    13
  • Issue
    2
  • fYear
    1994
  • Firstpage
    197
  • Lastpage
    202
  • Abstract
    The authors discuss the following topics: traditional renewal point process models; long-term correlations; self-similarity of neuronal firing rates; power-law behavior of the Fano-factor time curve; change in the firing pattern induced by the presence of a stimulus; neural information processing with fractal nerve spikes; biophysical origin of the fractal behavior; fractal point-process model; short-term correlations.<>
  • Keywords
    bioelectric potentials; fractals; hearing; neurophysiology; physiological models; reviews; Fano-factor time curve; auditory nerve-spike trains; biophysical origin; fractal nerve spikes; fractal patterns; fractal point-process model; long-term correlations; neural information processing; neuronal firing rate self-similarity; power-law behavior; short-term correlations; stimulus-induced firing rate change; traditional renewal point-process models; Ear; Fires; Fractals; Frequency; Histograms; Mathematical model; Neurons; Probability density function; Rain; Sequences;
  • fLanguage
    English
  • Journal_Title
    Engineering in Medicine and Biology Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0739-5175
  • Type

    jour

  • DOI
    10.1109/51.281678
  • Filename
    281678
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1077718