Neural modelling to relate individual differences in physiological and perceptual responses with sensorineural hearing loss


  • Michael G. Heinz Department of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, IN, USA Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA


A great challenge in diagnosing and treating hearing impairment comes from the fact that people with similar degrees of hearing loss often have different speech-recognition abilities. Many studies of the perceptual consequences of peripheral damage have focused on outer-hair-cell (OHC) effects; however, anatomical and physiological studies suggest that many common forms of sensorineural hearing loss (SNHL) arise from mixed OHC and inner-hair-cell (IHC) dysfunction. Thus, individual differences in perceptual consequences of hearing impairment may be better explained by a more detailed understanding of differential effects of OHC/IHC dysfunction on neural coding of perceptually relevant sounds. Whereas it is difficult experimentally to estimate or control the degree of OHC/IHC dysfunction in individual subjects, computational neural models provide great potential for predicting systematically the complicated physiological effects of combined OHC/IHC dysfunction. Here, important physiological effects in auditory-nerve (AN) responses following different types of SNHL and the ability of current models to capture these effects are reviewed. In addition, a new approach is presented for computing spike-train metrics of speech-in-noise envelope coding to predict how differential physiological effects may contribute to individual differences in speech intelligibility.


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How to Cite

Heinz, M. G. (2015). Neural modelling to relate individual differences in physiological and perceptual responses with sensorineural hearing loss. Proceedings of the International Symposium on Auditory and Audiological Research, 5, 137–148. Retrieved from