Brain-Computer Interfaces and Neural Engineering

BCIs are based on the recording of brain signals. By studying and translating these signals, we can understand how humans can control devices and technology such as computers or robots. Translating brain signals effectively can improve technology such as artificial limbs, wheelchairs, and eye-sensor equipment.

Our research looks at a broad range of BCI applications, including (but not limited to):

• Spelling and cursor control.
• Computational neuroscience.
• Rehabilitation engineering (including prosthetic control).
• Peripheral nerve interfaces.
• Integration of brain stimulation with BCI to provide novel therapies
• BCIs that assist individual and group decision-making, and human-AI teaming.

Our work has been funded by the Ministry of Defence, the Engineering and Physical Sciences Research Council (EPSRC), the US Department of Defence, and Horizon 2020, among others.

Based in the School of Computer Science and Electronic Engineering at the University of Essex, the BCI-NE Lab includes state-of-the-art EEG systems, Functional Near-Infrared Spectroscopy (fNIRS) systems, eye trackers and a variety of neurostimulators.

Further information

Visit the Essex Brain-Computer Interface and Neural Engineering Lab website.

Related courses

• Undergraduate courses in computer science and electronic engineering
• MSc Artificial Intelligence
• Postgraduate research courses in computer science or electronic engineering