Journal
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS
Volume 12, Issue 2, Pages 332-343Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCDS.2020.2964841
Keywords
Biological system modeling; Computational modeling; Data models; Auditory system; Phantoms; Adaptation models; Mathematical model; Linear mixed effects (LMEs) model; perceptual model; tinnitus; tinnitus loudness; tinnitus pitch
Funding
- Department of Education and Learning (Northern Ireland)
Ask authors/readers for more resources
Tinnitus is the phantom perception of sound, experienced by 10%-15% of the global population. Computational models have been used to investigate the mechanisms underlying the generation of tinnitus-related activity. However, existing computational models have rarely benchmarked the modeled perception of a phantom sound against recorded data relating to a person's perception of tinnitus characteristics, such as pitch or loudness. This article details the development of two perceptual models of tinnitus. The models are validated using empirical data from people with tinnitus and the models' performance is compared with the existing perceptual models of tinnitus pitch. The first model extends existing perceptual models of tinnitus, while the second model utilizes an entirely novel approach to modeling tinnitus perception using a linear mixed effects (LMEs) model. The LME model is also used to model the perceived loudness of the phantom sound which has not been considered in previous models. The LME model creates an accurate model of tinnitus pitch and loudness and shows that both tinnitus-related activity and individual perception of sound are factors in the perception of the phantom sound that characterizes tinnitus.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available