Unifying information theory and machine learning in a model of electrode discrimination in cochlear implants

• Published in: PloS one Vol. 16; no. 9; p. e0257568
• Main Authors: Gao, Xiao, Grayden, David, McDonnell, Mark
• Format: Journal Article
• Language: English
• Published: San Francisco Public Library of Science 20.09.2021; Public Library of Science (PLoS)
• Subjects: Analysis; Auditory discrimination; Auditory nerve; Biology and Life Sciences; Biomedical engineering; Cochlea; Cochlear implants; Complications and side effects; Computer and Information Sciences; Discrimination; Electrodes; Engineering and Technology; Evaluation; Geometry; Information theory; Learning algorithms; Machine learning; Medicine and Health Sciences; Modelling; Neural networks; Neural prostheses; Patient outcomes; Perception; Physical Sciences; Prosthetics; Random variables; Speech; Speech perception; Speech recognition; Transplants & implants; Voice recognition; Australia

Despite the development and success of cochlear implants over several decades, wide inter-subject variability in speech perception is reported. This suggests that cochlear implant user-dependent factors limit speech perception at the individual level. Clinical studies have demonstrated the importanc...