We are currently studying two specific problems: detection of acoustic signals in background noise, and detection of fluctuations in the amplitude of sounds. These problems are of interest because they are tasks at which the healthy auditory system excels, but they are situations that can present great difficulty for listeners with hearing loss.
Learn more about Auditory Processing of Complex Sounds
This research project focuses on developing a detailed computational model for the responses of auditory-nerve (AN) fibers in the normal and impaired auditory periphery. Modeling AN fiber responses provides a useful tool for testing our understanding of the underlying mechanical and physiological processes in the auditory periphery.
Learn more about Computational Models for Auditory-Nerve Fibers
We have explored a number of computational models for neurons in the ascending auditory pathway, from the brainstem through the midbrain. Our current efforts are focused on modeling the responses of neurons in the inferior colliculus to a number of complex stimuli that have been used in recent physiological studies.
Learn more about Computational Models for Central Auditory Neurons
The phenomenon that subjects with normal hearing can easily understand speech in noisy background while those with hearing loss (even with the help of hearing aids) perform poorly has been studied for decades. Yet it is still not clear how subjects detect even pure tones.
Learn more about Modeling the Detection of Tones in Reproducible Noise