Computational cognitive neuroscience of human audition

The ability to derive information from sound is a core component of human intelligence, enabled by many stages of neuronal processing extending from the ear to the brain. Although much is known about how the ears convert sound to electrical signals that are sent to the brain, the mechanisms by which the brain mediates our sound recognition abilities remains poorly understood. 

To gain insight into the neuronal processes that enable auditory recognition, we will develop computer models that replicate human perception and neural responses to sound. The models will be validated with comparisons with human behaviour and brain measurements, and then used to derive hearing aid algorithms. 

The research will help reveal the principles of human audition, enabling more effective machine algorithms and treatments for hearing disorders.