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 groups 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.
This is a self-funded research project.
Students with either an undergraduate honours degree (2:1 / 1st) or MSc (Merit or Distinction) 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.
Applicants can apply for a Scholarship from the University of Sheffield but should note that competition for these Scholarships is highly competitive: View Website
Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees/applyphd
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