Theoretical neuroscience is the quantitative study of neurobiological systems using the tools of information theory, signal processing, control theory, machine learning, and dynamic systems theory. It is concerned with issues of neural representation, neural architecture, learning, nonlinear systems, and complexity as they relate to understanding the uniquely flexible and effective behaviours of humans and animals.

At the University of Waterloo, we have created the Centre for Theoretical Neuroscience (CTN) to concentrate interfaculty expertise into an officially recognized research strength of the University. The Centre is currently setting up a graduate program, colloquia and workshops as well as supporting the research described in the affiliated lab webpages. Research opportunities at the Centre are usually arranged via the member labs.

For more information on affiliated labs' research, please see the lab descriptions.

Waterloo researchers among top in Canada

Chris Eliasmith writing on a whiteboardChris Eliasmith, Director of the Centre for Theoretical Neuroscience, received the prestigious John C. Polanyi Award  and is also an inaugural member of the Royal Society of Canada's College of New Scholars, Artists, and Scientists.

How to Build a Brain

Chris Eliasmith’s team at the Centre for Theoretical Neuroscience has built Spaun, the world’s largest simulation of a functioning brain. The related book is now available and for the full article Waterloo Stories.


This is a collection of coverage of work with Nengo (Neural Engineering Objects) that has appeared in the popular press recently.