I joined the lab in January 2025 as a postdoctoral fellow to help build the next version of Spaun, towards eluciding the neural mechanisms underlying the essential capacities of brains embedded in an interactive and dynamic environment.
Before this, I conducted postdoctoral research into biologically-plausible anomaly detection and reinforcement learning algorithms with Dr. Jeff Orchard (Cheriton School of Computer Science) and Dr. Terrence C. Stewart (Natural Research Council of Canada).
My formal training is in Electrical Engineering (Memorial University, 2014), and in my Masters' and PhD (University of Calgary, 2016 and 2022, respectively), I investigated the role of hypothalamic corticotropin-releasing hormone (CRH) neurons in guiding the expression of innate defensive and natural behaviors using a variety of systems neuroscience and computational approaches.
Publications
Conference and Workshop Papers
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Kathryn Simone,
Lea Steffen,
Nicole Sandra-Yaffa Dumont,
Siyang Yu,
Hudson Ly,
Graeme Damberger,
Chris Eliasmith
(2026)
Semantic map learning and externalization in an embodied neural agent: A comparison to human behavioral and neural data.
In Proceedings of the Annual Meeting of the Cognitive Science Society, volume 48. In press.
Abstract
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Lea Steffen,
Kathryn Simone,
Graeme Damberger,
Travis DeWolf,
Hudson Ly,
Chris Eliasmith
(2026)
A Spiking Neural Architecture for Coordinating Arm and Locomotor Control.
In Proceedings of the ACM International Conference on Neuromorphic Systems (ICONS). In press.
Abstract
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Graeme Damberger,
Kathryn Simone,
Chandan Datta,
Ram Eshwar Kaundinya,
Juan Escareno,
Chris Eliasmith
(2025)
Biologically-Inspired Representations for Adaptive Control with Spatial Semantic Pointers.
In 2025 Neuro Inspired Computational Elements Conference (NICE), 1-10.
Abstract
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