Jeff Orchard
Associate Professor, School of Computer Science, University of Waterloo.
- None
I am a mathematician, computer scientist, and Associate Professor in the Cheriton School of Computer Science at the University of Waterloo. I received my BMath from Waterloo in 1994, my MSc in applied math from UBC in 1996, and my PhD in computing science from SFU in 2003.
Though much of my research career so far has been devoted to medical image processing, my real passion is to understand the brain and how it drives human behaviour. Since childhood, I've been fascinated by how we perceive the world through our senses, and use that knowledge to make decisions. How are memories encoded? And what is consciousness? These are the big questions I want answers to. I use computer simulations of neural networks, and mathematical models in an effort to unravel these mysteries.
Publications
Journal Articles
- (2023) Exploiting semantic information in a spiking neural SLAM system. Frontiers in Neuroscience. Abstract PDF DOI External link
- (2017) Feature-Based Resource Allocation for Real-Time Stereo Disparity Estimation. IEEE Access. Abstract PDF DOI External link
Conference and Workshop Papers
- (2024) Biologically-plausible Markov Chain Monte Carlo Sampling from Vector Symbolic Algebra-encoded Distributions. In ICANN. Abstract PDF
- (2023) Improving Reinforcement Learning with Biologically Motivated Continuous State Representations. In Proceedings of the International Conference on Cognitive Modeling. Abstract PDF
- (2022) A model of path integration that connects neural and symbolic representation. In Proceedings of the Annual Meeting of the Cognitive Science Society, volume 44. Toronto, ON. Cognitive Science Society. Abstract PDF