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