Neurotechnology and Artificial Intelligence

Focusing on areas including Focused Ultrasound (FUS), Brain-Computer Interfaces (BCIs) and Artificial Intelligence (AI)
Image of a brain surrounded by lights
 
The Neurotechnology and Artificial Intelligence research theme builds upon the world-leading expertise at the Brain Research & Imaging Centre (BRIC) in areas such as Focused Ultrasound (FUS), Brain-Computer Interfaces (BCIs) and Artificial Intelligence (AI). 
The research theme is home to an array of world-leading research such as:
  • Neurodevices for non-invasive brain measurement and manipulation.
  • Brain-Computer Interfaces (BCIs) which explore the intersection of neurology and computing.
  • Neuro-AI which aims to advance machine and deep learning for neuroscience.
  • Neuroprosthetics and orthotics research to bridge bioengineering with neural rehabilitation.
 

Research projects

Brain Stimulation Lab
Transcranial Ultrasound Stimulation (TUS)
Simulated focused ultrasound beam (red/blue) and location of magnetic resonance spectroscopy measurement (white square) overlaid on a structural magnetic resonance image (MRI)
Investigating the mechanisms of focused ultrasound mediated neural plasticity using magnetic resonance spectroscopy
Investigating the mechanisms of focused ultrasound mediated neural plasticity using magnetic resonance spectroscopy
Multi-site and state-dependent effects of Transcranial Ultrasound Stimulation on brain function and cognition
getty brain
Can artificial intelligence highlight those at greater risk of stroke?
Other exciting projects include:
  • EEG Neurofeedback in Parkinson's disease, which uses the brain to control technology and train the brain to control rhythms.
  • A combined TUS fMRI study to explore the dissociation between private and social counterfactual brain value signals.
  • Decision BOLD vmPFC optimisation.