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.
- Developing of brain-machine interfaces for treating chronic pain.
I am jointly at the Center for Information and Neural Networks (CiNet - a new advanced neuro-technology institute in Japan) and the Computational and Biological Learning Lab at Cambridge University, UK. I am an honorary consultant neurologist at Addenbrookes Hospital in Cambridge.