TY  - JOUR
AU  - Bruce, Ian C.
AU  - White, Mark W.
AU  - Irlicht, Laurence S.
AU  - O'Leary, Stephen J.
AU  - Dynes, Scott
AU  - Javel, Eric
AU  - Clark, Graeme M.
Y2  - 2014/05/21
Y1  - 1999
UR  - http://hdl.handle.net/11343/27515
AB  - Most models of neural response to electrical stimulation, such as the Hodgkin-Huxley equations, are deterministic, despite significant physiological evidence for the existence of stochastic activity. For instance, the range of discharge probabilities measured in response to single electrical pulses cannot be explained at all by deterministic models. Furthermore, there is growing evidence that the stochastic component of auditory nerve response to electrical stimulation may be fundamental to functionally significant physiological and psychophysical phenomena. In this paper we present a simple and computationally efficient stochastic model of single-fiber response to single biphasic electrical pulses, based on a deterministic threshold model of action potential generation. Comparisons with physiological data from cat auditory nerve fibers are made, and it is shown that the stochastic model predicts discharge probabilities measured in response to single biphasic pulses more accurately than does the equivalent deterministic model. In addition, physiological data show an increase in stochastic activity with increasing pulse width of anodic/cathodic biphasic pulses, a phenomenon not present for monophasic stimuli. These and other data from the auditory nerve are then used to develop a population model of the total auditory nerve, where each fiber is described by the single-fiber model.
KW  - otolaryngology
KW  - auditory nerve
KW  - cochlear implant
KW  - functional electrical stimulation
KW  - population response
KW  - sensory prosthesis
KW  - single-pulse response
KW  - stochastic threshold model
T1  - A stochastic model of the electrically stimulated auditory nerve: single-pulse response
IS  - IEEE Transactions on Biomedical Engineering
VL  - 46
IS  - 6
SP  - 617-629
L1  - /bitstream/handle/11343/27515/119497_vol11_1107_copyright%20notice.pdf?sequence=1&isAllowed=y
ER  -