Chris Eliasmith

University of Waterloo — Canada

Neuroscience · Life Sciences

44h-index9.7kcitations252works2.12yr avg
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Research Topics

Neural dynamics and brain function(111), Advanced Memory and Neural Computing(77), Neural Networks and Applications(56), EEG and Brain-Computer Interfaces(28), Neural Networks and Reservoir Computing(23)

Publications247 total

Model Predictive Control in the Legendre Domain
2025
Biologically-Inspired Representations for Adaptive Control with Spatial Semantic Pointers
2025Open Access
Improving Rule-based Reasoning in LLMs using Neurosymbolic Representations
arXiv (Cornell University)·2025Open Access
A unified neurocomputational model of prospective and retrospective timing.
Psychological Review·2025· 18 citedOpen Access
Improving Rule-based Reasoning in LLMs using Neurosymbolic Representations
2025· 1 citedOpen Access
A spiking neural model of decision making and the speed–accuracy trade-off.
Psychological Review·2024· 3 cited
BUILDING A BEHAVING BRAIN
Princeton University Press eBooks·2024
A scalable spiking amygdala model that explains fear conditioning, extinction, renewal and generalization
European Journal of Neuroscience·2024· 1 citedOpen Access
Author response for "A scalable spiking amygdala model that explains fear conditioning, extinction, renewal and generalization"
2024
Bridging Cognitive Architectures and Generative Models with Vector Symbolic Algebras
Proceedings of the AAAI Symposium Series·2024· 1 citedOpen Access
Biologically-Plausible Markov Chain Monte Carlo Sampling from Vector Symbolic Algebra-Encoded Distributions
Lecture notes in computer science·2024· 1 cited
QAVSA: Question Answering using Vector Symbolic Algebras
2024Open Access
Modelling neural probabilistic computation using vector symbolic architectures
Cognitive Neurodynamics·2023· 6 citedOpen Access
Exploiting semantic information in a spiking neural SLAM system
Frontiers in Neuroscience·2023· 14 citedOpen Access
A Unified Neurocomputational Model of Prospective and Retrospective Timing
2023Open Access
Biologically-Based Computation: How Neural Details and Dynamics Are Suited for Implementing a Variety of Algorithms
Brain Sciences·2023· 22 citedOpen Access
Neuromorphic control of a simulated 7-DOF arm using Loihi
Neuromorphic Computing and Engineering·2023· 19 citedOpen Access
Programming Neuromorphics Using the Neural Engineering Framework
Handbook of Neuroengineering·2023· 2 cited
BatSLAM: Neuromorphic Spatial Reasoning in 3D Environments
2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC)·2022· 11 cited
Constructing functional models from biophysically-detailed neurons
PLoS Computational Biology·2022· 7 citedOpen Access
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Frequent Co-authors

Terrence C. Stewart(10), Andrew Brook(9), Eric Hunsberger(6), Aaron R. Voelker(5), Paul Thagard(5), James Bergstra(4), Trevor Bekolay(4), Daniel Rasmussen(4), Philip Robbins(4), Brent Komer(3), Xuan Choo(3), Travis DeWolf(3), Yichuan Tang(3), Fred Adams(2), Peter Blouw(2), Alexander Neckar(2), Sam Fok(2), Kwabena Boahen(2), Abninder Litt(2), Steve Furber(2)