I joined the lab in September 2019 as a PhD student. I completed my Masters in Computational Mathematics at UW in April 2019 and my Honours BSc in Mathematics and Physics at McMaster University. I am interested in grids cells, spatial mapping, and reinforcement learning.
Publications
Journal Articles
- (2023) Biologically-Based Computation: How Neural Details and Dynamics Are Suited for Implementing a Variety of Algorithms. Brain Sciences, 13(2):245. Abstract PDF DOI External link
- (2023) Exploiting semantic information in a spiking neural SLAM system. Frontiers in Neuroscience. Abstract PDF DOI External link
- (2021) Simulating and Predicting Dynamical Systems With Spatial Semantic Pointers. Neural Computation, 33(8):2033-2067. Abstract PDF DOI
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
- (2020) Accurate representation for spatial cognition using grid cells. In 42nd Annual Meeting of the Cognitive Science Society, 2367–2373. Toronto, ON. Cognitive Science Society. Abstract PDF