Dr Ben Seymour, Computational and Biological Learning Lab, Trumpington Street, Cambridge CB2 1PZ


Center for Information and Neural Networks, National Institute for Information and Communications Technology (NICT), 1-3 Yamadaoka, Suita, Osaka 565-0871, Japan.

bjs49 AT / seymour AT

F1000 reviews (paywall)



IASP Travel award 

Congratulations to Suyi Zhang for getting a IASP Travel Award to attend this years World Congress for Pain at Yokohama.


German-Japanese Young Leaders Forum 2016

Congratulations to Tristan Nakagawa for being selected to as a Young Leader for the German-Japanese Young Leaders Forum in Berlin Potsdam this year, focusing on Digitalization and Data Security.


International Symposium 'Brain, Networks and Behaviour'

I am pleased to announce the following International Symposium to take place at CiNet, as part of our JSPS Program for Advancing Strategic International Networks between Osaka University, CiNet, Cambridge University, and Princeton University.

Wednesday 20th July, 2pm-5pm
at Conference Room, CiNet Bldg.
(1-4, Yamadaoka, Suita City, Osaka, 565-0871 Japan)


 - All Welcome


Sponsors: Osaka University & CiNet, National Institute of Information and Communications Technology (NICT)

Co-Sponsors: Japan Society for the Promotion of Science (JSPS) & Graduate School of Frontier Biosciences, Osaka University

Language: English

Toshio Yanagida
Specially Appointed Professor, Osaka University
Director, CiNet

Trevor Robbins, University of Cambridge
“Impulsivity and compulsivity: Neural substrates and neuropsychiatric implications”

Ben Seymour, CiNet
“Brain networks and human pain: top down versus bottom up”

Tim Buschman, Princeton University
“Neural Dynamics of Cognitive Control”

Ed Bullmore, University of Cambridge
“Complex brain networks in health and disease”


New Arthritis Research UK Award

We are very pleased to start a new project funded by Arthritis Research UK to study pain and fatigue in inflammatoy arhtritis. The project is a collaboration with Danierl Wolpert, Nick Shenker, Irma Kurniawan and Jo Jones.

We are looking for an enthusiastic post-doc to join the project from October 2016. Please contact me if you are interested.



Distinguishing different Pavlovian pain learning systems

Here's some blurb about our most recent paper in Current Biology:

When encountering danger, the brain rapidly signals to the body to enter defence mode. Learning to produce appropriate responses to pending dangers is critical for our survival and adaptation. However, there are a great variety of defensive responses – ranging from facial expression to communicate danger to others, autonomic responses such as sweating and a racing heart, and ‘motor’ defence such as retracting our limbs. But how exactly do we learn these diverse reactions? To be more precise, do we acquire these reactions through a single system, or a network of multiple learning systems?

In a new article, Suyi Zhang (Armstrong Award PhD Student) has addressed this question by using pain as an example of danger. She studied human volunteers whilst they learned to associate visual pictures with impending painful heat pulses. Physiological results from the body revealed two different patterns of response: a ‘non-specific’ pattern that does not care where on the body the threat is, which included facial fear responses, sweating, and increased heart rate. And a ‘specific’ pattern that needs to know where the threat is, such as which arm we should withdraw to try to avoid pain.

Suyi studied the brain activity whilst subjects did the task, using the new state-of-the-art imaging facilities at CiNet, Japan. These results clearly showed two different learning systems in the brain, with the non-specific system correlating with responses from the classic fear learning circuit (the amygdala and striatum), and the ‘specific’ system correlating with responses in the cerebellum. The research shows the human pain and defence system is built on a brain network of different learning sub-systems, not a single pathway as previously thought.

“Dissociable Learning Processes Underlie Human Pain Conditioning.”
Zhang, Suyi, Hiroaki Mano, Gowrishankar Ganesh, Trevor Robbins, and Ben Seymour.
Current Biology. Accessed December 17, 2015. doi:10.1016/j.cub.2015.10.066.


Images of the cerebellum as it learns which arm we should move when expecting pain, from the
new NICT CiNet brain scanner.