A Brain Computer Interface (BCI) is a device for translating user intentions, encoded by performing specific mental tasks, into control signals which can be used to control external devices. Whilst BCI builds on ideas and techniques from multiple disciplines including Neuroscience, Psychology, Cognitive Neuroscience, Signal Processing, Artificial Intelligence, it is fundamentally an experimental subject. All ideas/designs must be validated against real subjects generating real signals to prove their worth.
 

This course consist of three components:

During the assignment phase, teams will have access to all the facilities available in the department, including EEG-equipment, stimulus-generation software, signal-analysis software, and output-devices (e.g. video, audio, Lego-robots, internet-BCI-games, virtual-reality environments). Finally, they will test their design by conducting a set of experiments and report the results.
 

After developing their BCI students give a demonstration to prove it works correctly, conduct a set of experiments to validate this further and report on these experiments in the form of a scientific article. 
 

Note: this course includes a significant practical component using a mix of EEG hardware and Python based analysis software.