Neural network models clarify the role of plasticity in cochlear implant outcomes
Deep neural network models with altered input clarify the role of plasticity in cochlear implant users’ hearing difficulties.
The application of AI to improve auditory implants and fitting procedures
End-to-end deep denoising for cochlear implants
We present a deep neural network that substitutes the cochlear implant sound coding strategy and performs speech denoising.
Graphic representation of how differences in PCA components are reflected in MAPs.
How variation in cochlear implant performance relates to differences in MAP parameters
Statistical analysis of how fitting parameters relate to speech recognition scores finds meaningful differences between the highest- and lowest-scoring tertiles of recipients.
Real-Time Deep Neural Network to Remix Music for Cochlear Implant Users
Design and evaluation of a real-time audio source separation algorithm to remix music for cochlear implant users
Detection of current shunts with a ladder-network model
Detection of current shunts with a ladder-network model
The Panoramic ECAP Method: modelling the electrode-neuron interface in cochlear implant users
The Panoramic ECAP Method models patient-specific electrode-neuron interfaces in cochlear implant users, and may provide important information for optimizing efficacy and improving speech perception outcomes.
Short and long-term adaptation in the electrically stimulated auditory nerve are better described by a power law
Adaptation of the auditory nerve to electrical stimulation can best be described by a power law or a sum of exponents.