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
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;
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
