Student Projects

The following projects are currently available as thesis projects for MS students and as research experience for undegraduate students 

 

Computational modeling of masking release under sound deprivation

Neural networks can successfully predict aspects of brain function. In this project, a system of coupled differential equations will be used to model how the brain processed background sound under sound deprivation.

Data classification of neural spike trains

Non-parametric statistical approaches are useful for automatic classification of signals. In this project, different non-parametric approaches will be used to extract information from recordings of brain activity.

Psychophysics of informational masking

Imagine a situation where a woman is talking to you while a man is also speaking in the background. The task of understanding the female target voice is probably challenging due to the interference from the background, but it would be even more challenging when the background consisted of another female talker. This phenomenon is an example of so-called informational masking. In this project, psychophysical experiments in concert with computational modelling will be used to explore how the brain solves this task.

Psychophysics of sound localization

In vision, when trying to locate an object with your eyes, the object’s location is displayed directly on the retina. In audition, however, the location of an auditory object must be computed from two sensors, the ears. This process is known as sound localization, and it depends heavily on the acoustical statistics in the environment. In this project, psychophysical experiments in concert with computational modelling will be used to explore how the brain solves this task.