Scholar
Chris Eliasmith
Google Scholar ID: KOBO-6QAAAAJ
Professor, University of Waterloo
Citations & Impact
Citations
7,386
H-index
36
i10-index
104
Publications
20
Co-authors
28
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers including but not limited to 'Biologically-Inspired Representations for Adaptive Control with Spatial Semantic Pointers', 'Improving Rule-based Reasoning in LLMs using Neurosymbolic Representations' etc.; Proposed the Neural Engineering Framework and How to Build a Brain methodologies.
Research Experience
- Involved in building large-scale models (usually simulating single neurons) of different brain regions; proposed and developed Legendre Memory Units (LMU) and Spatial Semantic Pointers (SSPs) to improve deep learning.
Background
- Research interests include perception, action, cognition, and basic theoretical issues from a neural perspective. Uses the Nengo software tool to develop large-scale models of various brain areas.
Miscellany
- Offers the Nengo summer school on how to use Nengo to build large-scale brain models.
