A research laboratory dedicated to investigating cognitive processes through mathematical modeling, computational simulations, and empirical studies.
Explore Our ResearchWe are a research laboratory dedicated to understanding the computational principles underlying human cognition. Our work spans cognitive psychology, neuroscience, and artificial intelligence, using mathematical models and empirical methods to uncover how the mind works.
We develop mathematical and computational models to understand cognitive processes such as memory, attention, decision making, and language comprehension.
Our behavioral experiments and neuroimaging studies provide critical data to test and refine our theoretical understanding of cognitive mechanisms.
We translate our basic research findings into practical applications in education, artificial intelligence, and cognitive rehabilitation.
Recent highlights from our research
Journal of Cognitive Neuroscience (2024)
We present a novel computational model of working memory that integrates neural oscillations with synaptic plasticity mechanisms to explain capacity limitations and interference effects observed in behavioral studies.
Proceedings of the 46th Annual Conference of the Cognitive Science Society (2024)
This study examines how attention and memory systems interact during visual scene processing, revealing dynamic binding mechanisms that support object recognition and spatial reasoning.
Nature Communications (2022)
We present a hierarchical reinforcement learning framework that captures key features of cognitive control, including task switching, working memory updating, and interference resolution.
Proceedings of the National Academy of Sciences (2021)
We present a computational framework linking neural oscillations to information processing demands, explaining how different frequency bands support distinct cognitive functions.
Stay up to date with the latest happenings in our lab, including new publications, awards, conference presentations, and team updates.
We're excited to announce a new 5-year NSERC Discovery Grant to investigate the neural mechanisms of working memory capacity limitations.
Our latest research on hierarchical reinforcement learning models of cognitive control has been published in Nature Communications.
[REDACTED] and [REDACTED] received recognition for their outstanding research presentations at the Annual Conference of the Cognitive Science Society.
We're excited to welcome Dr. [REDACTED] as a Research Scientist and [REDACTED] as a new MSc student to our growing team.
Our diverse team of researchers brings together expertise from psychology, neuroscience, computer science, and mathematics to tackle fundamental questions about human cognition.
![Dr. [REDACTED]](/assets/images/team/[REDACTED].jpg)
Principal Investigator
Dr. [REDACTED] leads the Cognitive Theory Research Lab with expertise in computational cognitive sci...
Postdoctoral Fellow
Dr. [REDACTED] investigates the computational principles underlying visual attention and scene under...
PhD Student
[REDACTED] is a PhD student studying computational models of decision making under uncertainty. Thei...
PhD Student
[REDACTED]'s research focuses on computational models of language comprehension and the role of pred...