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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.
The Neurocognitive Computing Lab heads to Telluride
Two lab members are organizing topic areas for the 2025 Telluride Neuromorphic Cognition Engineering Workshop.
Meet Nicolas - Undergrad Researcher
Nicolas will be working on decoding from adapting spiking neurons
A freshly-minted doctor
Congratulations to Nicole, err... Dr. Dumont for successfully defending her thesis.
Nicole wins Best New Neuromorph!
She got the award when she attended the Telluride Neuromorphic Cognition Engineering Workshop.
BEST PAPER Award at ICANN!
Our paper was honoured with a ENNS Best Paper award at the Interational Conference on Artificial Neural Networks
We made the cover of Neural Computation
Our paper on spiking phasor VSAs is published in Neural Computation
Introducing Nicholas, part-time researcher
Nicholas Jiang will be implementing spiking phasors in Nengo this fall
Papers accepted at Canada AI Conference
Come to the Canadian Conference on AI to see lab members present their research.
Paper accepted in Frontiers in Neuroscience
Conratulations to Nicole, Mike, Chris and Jeff on their Frontiers in Neuroscience paper.
Jeff gives keynote lecture at Midnight Sun VSA Workshop
Jeff was invited to deliver a keynote presentation to the Midnight Sun VSA workshop in Luleå, Sweden.
Interview on the Thought Process podcast
Listen to Jeff being interviewed on the new podcast, Thought Process.
Two papers accepted at ICCM
We will be giving two talks at the International Conference on Cognitive Modeling in Amsterdam in July 2023.
Jeff is on sabbatical
Jeff will spend 6 months working with the ICNS at Western Sydney University in Australia
Success in ICCM
Some of our work will be presented at the International Conference on Cognitive Modeling in July.
CogSci Here We Come!
Students and postdocs in the lab will be presenting their work at the CogSci conference in July.
Research internship at Huawei
Ehsan will be working at Huawei, doing research to increase developer productivity using AI.
Welcome to Prof. Shi-Yuan Han
Dr. Shi-Yuan Han is a visiting scholar from the University of Jinan, China, until Dec 2022
Jeff on Unlabelled Unstructured podcast
'Unlabelled Unstructured' is a podcast by the UW Data Science Club.
PyData Global: Lightning Talk on NLP xAI
Brian gave an industry-applied talk on Pointer Generator Networks for Legal Document Summarisation.
Brian is Netflix Famous!
Brian took part in the Copper's Hill Cheese Rolling race, and a photo ended up on Netflix.
Award of Excellence: Mallory Snow
Mallory has been honoured with the MUN Grenfell Award of Excellence in both Computational Math and Physics
Speaking at NeuRIG
Jeff spoke about "Bridging between Computers and Cortex" to Lakehead University's Neuroscience Research Interest Group
Writeup feature for CS home page
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
Neuroscience: A computational problem
Jeff was featured in an imprint article entitled Neuroscience: A computational problem.
PLOS ONE Paper Published
Nolan Shaw, Tyler Jackson, and Jeff Orchard had their paper published in PLOS ONE
Publication: Neural Computation
My master's student, Wei Sun, and I published our work in the journal Neural Computation.
Accepted: IEEE Trans. Cognitive and Developmental Systems
Lin Wang and I have another paper accepted, this one in IEEE Trans. Cognitive and Developmental Systems
NeurIPS Workshop Paper
We will be presenting a paper at the workshop Perception as Generative Reasoning
Best Paper Award at ICONIP
J Orchard, L Castricato, "Combatting Adversarial Inputs using a Predictive-Estimator Network", International Conference on Neural Information Processing (ICONIP), 7 pages, 2017.
