A simulation of neural coding and auditory frequency analysis
Author(s) -
Robert A. Houde,
James Hillenbrand,
Robert T. Gayvert,
John F. Houde
Publication year - 2013
Publication title -
proceedings of meetings on acoustics
Language(s) - English
Resource type - Conference proceedings
ISSN - 1939-800X
DOI - 10.1121/1.4799219
Subject(s) - basilar membrane , narrowband , cochlea , computer science , speech recognition , neural coding , auditory system , acoustics , band pass filter , tone (literature) , bandwidth (computing) , physics , electronic engineering , engineering , telecommunications , artificial intelligence , neuroscience , biology , art , literature
Our understanding of the neural mechanisms underlying the very fine auditory frequency discrimination exhibited by listeners remains far from complete. To investigate this question we developed a functional model of the cochlear process in sufficient detail to allow the simulation of the principal characteristics of the cochlea's response to multi-tone and noise stimuli over a wide range of input levels. The model simulates level-dependent changes in frequency selectivity, combination-tone distortion, tone-on-tone suppression and masking, adaptation, and critical-band masking. The model is structured as 3000 channels, each consisting of a basilar membrane bandpass filter and inner-hair cell assembly. Input to each channel is the stapes displacement signal, and the output consists of ten independent stochastic point processes that are transmitted to the CNS on auditory-nerve fibers (ANFs). Our main purpose is to address these questions: (1) What narrowband spectrum information is available in the cochlea o...
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