My research group is working to understand the neural circuitry that underlies sensory perception. We perform experiments that allow us to observe how sensory inputs are transformed into neural activity patterns, and we build models to replicate the transformations that we observe.
“Cracking the neural code” is one of the great research challenges of our time. It is essential not only for the advancement of science, but also for the development of improved treatments for impaired brain function and the creation of intelligent artificial systems with human-like capabilities.
Most of our research is focused on hearing, an area with many important open questions: What are the neural mechanisms that enable the brain to separate multiple sound sources and solve the so-called ‘cocktail party problem?’ How are these mechanisms impaired by peripheral and central damage due to aging and noise exposure? How can we better correct or compensate for these impairments to restore normal perception, i.e. how can we make better hearing aids and cochlear implants?
A recent short article about the limitations of current hearing aids and how they might be improved can be found here.
To find out more about our research or view our publications, please use the links in the menu above.
Ádám Juhász, Brian Lam, Shievanie Sabesan, Alex Armstrong, Gang Xiao, Nick Lesica, Gary Huang