Our research aim is to uncover the computational and organizational mechanisms in the brain. For example, what function does feedback play in our brains, and how do our expectations influence our perceptions? We study these questions by modelling neural networks. Through computational experiments and mathematical analysis, we try to understand the neurological basis of perception, cognition, and behaviour.
The lab is in the David R. Cheriton School of Computer Science, and affiliated with the Centre for Theoretical Neuroscience.
Jeremy Zheng received one of 5 Teaching Assistant awards
Our paper was honoured with a ENNS Best Paper award at the Interational Conference on Artificial Neural Networks
Our paper on spiking phasor VSAs is published in Neural Computation
Nicholas Jiang will be implementing spiking phasors in Nengo this fall
Congratulations to William for completing his MMath degree
Jeff spent 2 hours answering questions on X(Twitter) Spaces
Alicia will be doing research with us for the summer.
Come to the Canadian Conference on AI to see lab members present their research.
Bing started his PhD in Jan 2024.
Say hi to William from Montreal.
Jeff and Russell will present a paper at ICONS 2023 in Santa Fe, NM.
Conratulations to Nicole, Mike, Chris and Jeff on their Frontiers in Neuroscience paper.
Jeff was invited to deliver a keynote presentation to the Midnight Sun VSA workshop in LuleƄ, Sweden.
Listen to Jeff being interviewed on the new podcast, Thought Process.
Jeff presented his recent work to the Intel Neuromorphic Research Community.
We will be giving two talks at the International Conference on Cognitive Modeling in Amsterdam in July 2023.
Prof. Orchard is back from his sabbatical in Australia
Dr. Simone will be joining the lab as a postdoctoral researcher.
Congratulations to Mallory Snow who finished her MMath degree.
Jeff will spend 6 months working with the ICNS at Western Sydney University in Australia
Some of our work will be presented at the International Conference on Cognitive Modeling in July.
Students and postdocs in the lab will be presenting their work at the CogSci conference in July.
Ehsan will be working at Huawei, doing research to increase developer productivity using AI.
Michael Karras will be at Apple AI/ML this summer.
Zahra will be working on AI algorithms of altruism.
Sherman is working on how to use neural networks to help in video editing.
Dr. Shi-Yuan Han is a visiting scholar from the University of Jinan, China, until Dec 2022
'Unlabelled Unstructured' is a podcast by the UW Data Science Club.
Brian gave an industry-applied talk on Pointer Generator Networks for Legal Document Summarisation.
Brian took part in the Copper's Hill Cheese Rolling race, and a photo ended up on Netflix.
Say hello to some new faces joining our lab
Mallory has been honoured with the MUN Grenfell Award of Excellence in both Computational Math and Physics
Nolan is doing a research internship at Huawei
Alex successfully completed his MMath degree.
We welcome the Lab's newest graduate student
Alex is using reinforcement learning to teach a robot to reach
Jeff spoke about "Bridging between Computers and Cortex" to Lakehead University's Neuroscience Research Interest Group
Nolan's work (recently published in PLOS ONE) was featured by the Cheriton School of CS. It also garnered a shout-out on ACM TechNews
Jeff was featured in an imprint article entitled Neuroscience: A computational problem.
Nolan Shaw, Tyler Jackson, and Jeff Orchard had their paper published in PLOS ONE
Congratulations to Wei Sun for finishing his Masters degree.
My master's student, Wei Sun, and I published our work in the journal Neural Computation.
Lin Wang and I have another paper accepted, this one in IEEE Trans. Cognitive and Developmental Systems
We will be presenting a paper at the workshop Perception as Generative Reasoning
Our paper was accepted for publication in IEEE TSMC-Systems
Our paper on detecting water leaks using neural networks was accepted.
Interview about why coding is fun and important
J Orchard, L Castricato, "Combatting Adversarial Inputs using a Predictive-Estimator Network", International Conference on Neural Information Processing (ICONIP), 7 pages, 2017.
Jeff debated Matt Dickerson of Middlebury College.