My research aim is to uncover mechanisms that underlie the computational and organizational aspects of the brain.  For example, what function does feedback play in our brains, and how do our expectations influence our perceptions? I study these questions by modelling neural networks.

In a previous life, I did research in image processing and medical imaging, and taught a 4th-year course on medical image processing.


Jeff Orchard

Director of Computational Mathematics

Associate Professor

   Cheriton School of Computer Science

   Biology (adjunct)

   Applied Mathematics (adjunct)


Is the Mind a Machine?

The Veritas Forum

Debate with Matt Dickerson

Accepted Paper

IEEE Trans Neural Networks and Learning Systems

Symmetric Predictive Estimator for Biologically Plausible Neural Learning

Accepted Paper

IET Microwaves, Antennas and Propagation

“Millimeter-wave Multi-view Planar Near-field Scattering Tomography System”

Hour of Code

Partners in Research Live Event: “Why Code?”


Two abstracts presented at the Montreal Artificial Intelligence and Neuroscience conference.

Accepted Paper

Journal of Imaging

Henry Leopold, et al,

PixelBNN: Augmenting the Pixel CNN with...”, 2019