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Improving cochlear implant performance through use of neural models

Program: 
R2
Project area: 
R2.5: Neural Modelling
Project-ID: 
R2.5.1
Project Status: 
Ongoing

Background

Cochlear implants do not generate natural patterns of response from the auditory nerve, and this is thought to adversely affect cochlear implant performance.

This project aims to overcome this shortcoming by using neural models to predict the electrical stimulation of the auditory nerve required to generate any desired (i.e. more natural) pattern of neural response.

Detail

Neural models which predict the response of the auditory nerve to electrical stimulation have been developed, based upon previous neurophysiology performed by Prof O’Leary’s team at the University of Melbourne. These models are inverted, to generate the pattern of electrical stimulation required to generate more speech-like patterns of neural response. 

Experimental neurophysiology is used to test and refine the approach, prior to incorporation of neurally-based algorithms into speech processing strategies.

Project leadership

 

Project Team

Leon Heffer, Ian Jakovenko, Peter Seligman, David Sly, Hugh McDermott

 

Publications from this Project

No publications available for this project at this time.