DocumentCode
347054
Title
An optimization method for analyzing noise responses of high-frequency auditory-nerve fibers
Author
Zheng, Ling ; Carney, Laurel H. ; Clark, Frances F.
Author_Institution
Dept. of Biomed. Eng., Boston Univ., MA, USA
Volume
1
fYear
1999
fDate
1999
Abstract
This paper presents a method for estimating the bandpass transfer function of high characteristic-frequency (high-CF) auditory-nerve (AN) fibers. These fibers are modeled as a 4th-order gamma-tone filter followed by envelope extraction. The best central frequency, bandwidth, and delay in the model are determined by an optimization procedure. The peri-stimulus time histogram (PSTH) of the noise response of a fiber is the desired output of the model. The proposed method gives reasonable estimates of the bandpass transfer functions of high-CF AN fibers
Keywords
Hilbert transforms; hearing; mean square error methods; neurophysiology; optimisation; physiological models; transfer functions; Hilbert transform; Marquardt method; bandpass transfer function; correlation; envelope extraction; fourth-order gamma-tone filter; high characteristic-frequency fibers; high-frequency auditory-nerve fibers; mean square error; noise responses; optimization method; peri-stimulus time histogram; phase locking model; Acoustic noise; Auditory system; Band pass filters; Bandwidth; Delay; Frequency; Nerve fibers; Optimization methods; Speech analysis; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location
Atlanta, GA
ISSN
1094-687X
Print_ISBN
0-7803-5674-8
Type
conf
DOI
10.1109/IEMBS.1999.802494
Filename
802494
Link To Document