Renewal-process approximation of a stochastic threshold model for electrical neural stimulation
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Date
2000Source Title
Journal of Computational NeuroscienceMetadata
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Bruce, I. C., Irlicht, L. S., White, M. W., O'Leary, S. J., & Clark, G. M. (2000). Renewal-process approximation of a stochastic threshold model for electrical neural stimulation. Journal of Computational Neuroscience, 9, 119-132.Access Status
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© 2000 Kluwer Academic Publishers. This is a publisher’s version of an article whose final and definitive form has been published in the Journal of Computational Neuroscience, 9, 119-132. http://www.springerlink.com.ezp.lib.unimelb.edu.au/content/l3413453260442x1/This article is reproduced with kind permission of Springer Science and Business Media.
Abstract
In a recent set of modelling studies we have developed a stochastic threshold model of auditory nerveresponse to single biphasic electrical pulses (Bruce et al., 1999c) and moderate rate (less than 800 pulses per second) pulse trains (Bruce et al., 1999a). In this article we derive an analytical approximation for the single-pulse model, which is then extended to describe the pulse-train model in the case of evenly timed, uniform pulses. This renewal process description provides an accurate and computationally efficient model of electrical stimulation of single auditory nerve fibers by a cochlear implant that may be extended to other forms of electrical neural stimulation.
Keywords
functional electrical stimulation; stochastic model; renewal process; refractory effects; auditory nerveExport Reference in RIS Format
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