Computational auditory models in hearing research: from diagnostics to sound perception

In the past decades, auditory models have been very successful in connecting the physiology of hearing to its functionality. Models were pivotal in understanding differences between normal and hearing-impaired sound processing and have thereby inspired numerous hearing prosthetic algorithms. Because auditory models come in different flavors (fast, computational, functional, nonlinear or biophysical), it is important to be aware of their respective limitations for your study or application. In this talk, Sarah Verhulst will provide examples of how (biophysical) auditory models can be used in auditory perception studies. Afterwards, she will introduce how biophysical models can be used to simulate human physiological responses, and how they can be adopted to improve EEG-based hearing diagnostics. Lastly, she will talk about present-day drawbacks of biophysical models and how we can overcome these to yield a future, unified theory of hearing.

Zoom info:
https://us02web.zoom.us/j/87144207273