Optimization of cochlear implant electrode array using genetic algorithms and computational neuroscience models

Finite-element (FE) analysis is used to compute the current distribution of the human cochlea during cochlear implant electrical stimulation. Genetic algorithms are then applied in conjunction with computational neuroscience models and FE analysis to optimize the shape and dimensions of cochlear implant electrode array. The goal is to improve the focus of electrical energy delivered to the auditory nerves in the human cochlea, thus reducing energy wasted and improve the efficiency and effectiveness of the cochlear implant system.