Threshold prediction for noise-modulated electrical stimuli using a stochastic auditory nerve model: Implications for cochlear implants

Published

Conference Paper

The effect of a low level additive noise process on the input and output characteristics and threshold behavior of auditory nerves (ANs) is studied by means of a stochastic computational model. This paper derives the stochastic properties of the model input and output for adaptive threshold procedures. A closed form solution for the input, or amplitude, probability distribution is obtained via Markov models. The output statistics are derived by integrating over the noise-free probability mass function (PMF). All theoretical PMFs are verified by simulations. Theoretical threshold predictions as a function of noise level are made based on these PMFs and the results indicate that threshold is adversely affected by the presence of low levels of noise.

Full Text

Duke Authors

Cited Authors

  • Xu, Y; Collins, LM

Published Date

  • January 1, 2002

Published In

Volume / Issue

  • 2 /

International Standard Serial Number (ISSN)

  • 1520-6149

Digital Object Identifier (DOI)

  • 10.1109/icassp.2002.5745006

Citation Source

  • Scopus