Abstract

We present a method for generating acoustic simulations of the cochlear implant (CI). These simulations are constructed to optimally reproduce the computed neural activation pattern (NAP) at the auditory nerve created by CI stimulation. In this work, we use a linear one-dimensional model of the cochlea to compute the acoustic input that optimally reproduces target NAPs in the mean-squared sense. Target CI NAPs are produced by a model coupled to N of M Nucleus-24 signal processing. The optimal simulation is compared to a noise-band simulation with 6.5–7.9% reduction in mean-squared error.

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