Title :
Wavelet analysis of fractal point processes
Author_Institution :
Dept. of Commun. Sci. & Disorders, Northwestern Univ., Evanston, IL, USA
Abstract :
The response patterns of chinchilla auditory nerve fibers were analyzed using the wavelet transform. Previous studies have shown that the responses display a fractal characteristic when observed over relatively long time intervals (>100-200 ms). Both spontaneous (non-driven) and acoustically driven responses of neurons in the auditory nerve display this behavior. The wavelet transform was used to quantify this fractal behavior by estimating the slope of the variance of the wavelet coefficients across several levels of resolution. The estimates were similar to the ones obtained using the Fano factor (variance to mean ratio of events). A wavelet analysis done on a doubly stochastic point process model of the responses of the auditory nerve gave similar results
Keywords :
auditory evoked potentials; estimation theory; fractals; neurophysiology; signal resolution; stochastic processes; wavelet transforms; zoology; Fano factor; acoustically driven responses; chinchilla auditory nerve fibers; doubly stochastic point process model; fractal point processes; neurons; resolution; response patterns; spontaneous responses; variance slope estimation; wavelet analysis; Auditory displays; Discrete wavelet transforms; Fractals; Gaussian noise; Nerve fibers; Neurons; Stochastic processes; Wavelet analysis; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3192-3
DOI :
10.1109/ICASSP.1996.547991
