My lab addresses the computational and systems neuroscience of pain and aversive learning. This research is part theoretical: building realistic computational models of neuronal information processes to understand processes of pain perception and behaviour, and part experimental: testing these theories using a range of experimental methodologies, especially fMRI. Based on this understanding, my research aims to develop new technology-based therapies for treating pain in clinical populations.
My interests include:
- Reinforcement learning models of aversive learning.
- Signal processing models of pain and temperature perception.
- Development of body-machine and brain-machine applications for chronic pain.
- Brain-immune interactions following injury.
I am based at the Computational and Biological Learning Lab at Cambridge University, UK. Currently I am visiting the Center for Information and Neural Networks and the Immunology Frontier Research Center in Japan. I am an honorary consultant neurologist at Addenbrookes Hospital in Cambridge.