Pain Neuroscience and Technology
Main Lab Location:
CiNet (Main bldg.)
Computational and Biological Learning Lab, Department of Engineering, University of Cambridge, UK. Behavioural and Clinical Neuroscience Institute, Department of Experimental Psychology, University of Cambridge, UK.
1-4 Yamadaoka, Suita City Osaka, 565-0871
My research aims to understand how pain is processed in the human brain by using a combination of theoretical and experimental methods. Our goal is to use this knowledge to design new types of (technology-based) treatment for patients who suffer from pain – the commonest cause of disability worldwide and a particular problem in aging societies.
At the heart of my research is the development of computational models of how pain is processed in the neural circuits of the brain. These are ‘systems-level’ models, that aim to directly relate neural information processing to subjective perception and observable behaviour. Critically, these models yield precise predictions that can be tested in behavioural, physiological and neuroimaging experiments – my lab typically does all three. We’ve now managed to produce basic working simulations of the human pain system – whilst these don’t fully incorporate all of the complexity of real pain, they do capture what we think is the core ‘structure’ of how pain works as a negative motivation and teaching signal. A much greater challenge is to understand the nature of clinical chronic pain, and we’ve recently started our first translational projects, for example in pain patients with deep brain stimulation, and patients with chronic low back pain
Outside of a clinical context, I am working on the design of new technology-based applications. This includes the development of ‘synthetic’ pain systems that can be used in control systems design, and brain-based communication systems for pain.
Suyi Zhang, Hiro Mano, Ganesh Gowrishanker, Trevor Robbins, Ben Seymour. Dissociable learning processes underlie human pain conditioning. Current Biology 26(1), 52–58 (2016)
Suyi Zhang and Ben Seymour. Technology for Chronic Pain. Current Biology 24 (18) 930-35 (2014)
Rebecca Lawson, Ben Seymour, Leanoh Loh, Antoine Lutti, Ray Dolan, Peter Dayan, Nikolaus Weiskopf, Jon Roiser. The habenula encodes negative motivational value associated with primary punishment in humans. PNAS 111 (32) 11858-63 (2014).
I am neuroscientist and neurologist, having trained in computational and imaging neuroscience at UCL, and clinical neurology in London and Cambridge. I currently have a joint appointment between CiNet and the Computational and Biological Learning Lab at the University of Cambridge, funded by the Wellcome Trust. I am an honorary Consultant Neurologist at Addenbrookes Hospital in Cambridge.
Announcements / News:
We may have a post-doc position available - please contact me for more information.