Using Brain Computer Interface to Improve Cognitive Performance
Supervisor: Dr Mahnaz Arvaneh
Electroencephalogram (EEG) is a non-invasive technique commonly used to measure brain activity. In this project, we aim at using EEG Biofeedback (brain-computer interface (BCI)) for improving cognitive performance (e.g. attention, memory, error awareness) in different group of people including healthy young adults, elderly and patients with cognitive disabilities. Considering the complexity of different cognitive functions, we are interested in recognising relevant EEG features which could accurately monitor the specific cognitive function and could predict its failure in advance. Accordingly, the BCI system will be adapted to encourage the user to self-regulate neural activities that have implication on the studied cognitive function.
The prospective student will gain experience across different disciplines including engineering, neuro-computation and psychology. Students with good degrees in engineering, mathematics, neuroscience, cognitive science, computer science or subjects where signal processing may be applied are encouraged to apply. If you are interested in doing this research, and are unsure about whether you have the right background, please get in touch.
Dr Mahnaz Arvaneh