Advances in computational modelling of cochlear implant physiology and perception
AuthorBruce, Ian C.; White, M. W.; Irlicht, L. S.; O'Leary, Stephen J.; Clark, Graeme M.
Source TitleComputational Models of Auditory Function
Document TypeConference Paper
CitationsBruce, I. C., White, M. W., Irlicht, L. S., O'Leary, S. J., & Clark, G. M. (2001). Advances in computational modelling of cochlear implant physiology and perception. In Computational Models of Auditory Function, Il Ciocco, Italy.
Access StatusOpen Access
Models of cochlear implant physiology and perception have historically utilized deterministic descriptions of auditory-nerve (AN) responses to electrical stimulation, which ignore stochastic activity present in the response. Physiological models of AN responses have been developed that do incorporate stochastic activity , but the consequences of stochastic activity for the perception of cochlear implant stimulation have not been investigated until recently . Such an investigation is prompted by inaccuracies in predicting cochlear implant perception by deterministic models. For example, studies of single-fiber responses, where only an arbitrary deterministic measure of threshold is recorded, do not accurately predict perceptual threshold versus phase duration (strength-duration) curves for sinusoidal stimulation  or for pulsatile stimulation . Furthermore, strength-duration curves of cochlear implant users are not well predicted by deterministic Hodgkin Huxley type models  .However, the complexity of previous stochastic physiological models has made the computation of responses for large numbers of fibers both laborious and time-consuming. Furthermore, the parameters of these models are often not easily matched to the fiber characteristics of the auditory nerve in humans or other mammals. This has prompted us to develop a simpler and more computationally efficient model of electrical stimulation of the auditory nerve  which is capable of direct and rapid prediction of perceptual data
Keywordscochlear implant physiology; auditory nerve; stochastic physiological models; computational models; electrical stimulation
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- Graeme Clark Collection