Faculty profile
Chris Eliasmith
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Latest papers
Compositional neurosymbolic representations enable efficient active exploration.
Nature communications · 2026 · senior author
A unified neurocomputational model of prospective and retrospective timing.
Psychological review · 2025
Modelling neural probabilistic computation using vector symbolic architectures.
Cognitive neurodynamics · 2024 · senior author
Latest funding
- $300,000
Theoretical Neuroscience
NSERC · 2022 · Principal investigator
- $370,205
Large-scale neural models of cognitive function
NSERC · 2020 · Principal investigator
- $200,000
Theoretical Neuroscience
NSERC · 2016 · Principal investigator
45 publications.
Compositional neurosymbolic representations enable efficient active exploration.
Furlong PM, Dumont NS, Antonova R, Orchard J, Eliasmith C
A unified neurocomputational model of prospective and retrospective timing.
de Jong J, Voelker AR, Stewart TC, Akyürek EG, Eliasmith C, van Rijn H
Modelling neural probabilistic computation using vector symbolic architectures.
Furlong PM, Eliasmith C
A scalable spiking amygdala model that explains fear conditioning, extinction, renewal and generalization.
Duggins P, Eliasmith C
Exploiting semantic information in a spiking neural SLAM system.
Dumont NS, Furlong PM, Orchard J, Eliasmith C
Biologically-Based Computation: How Neural Details and Dynamics Are Suited for Implementing a Variety of Algorithms.
Dumont NS, Stöckel A, Furlong PM, Bartlett M, Eliasmith C, Stewart TC
Constructing functional models from biophysically-detailed neurons.
Duggins P, Eliasmith C
Simulating and Predicting Dynamical Systems With Spatial Semantic Pointers.
Voelker AR, Blouw P, Choo X, Dumont NS, Stewart TC, Eliasmith C
Connecting Biological Detail With Neural Computation: Application to the Cerebellar Granule-Golgi Microcircuit.
Stöckel A, Stewart TC, Eliasmith C
Passive Nonlinear Dendritic Interactions as a Computational Resource in Spiking Neural Networks.
Stöckel A, Eliasmith C
Theoretical Neuroscience
Principal investigators: Eliasmith, Chris
Keywords: theoretical neuroscience; computational neuroscience; neural representation; philosophy of mind; large-scale brain modeling; cognitive science; cognitive architectures; neuromorphic engineering; artificial intelligence; machine learning
Large-scale neural models of cognitive function
Principal investigators: Eliasmith, Chris
Keywords: large-scale brain modeling; neural dynamics; cognitive modeling; neural representation; spiking neural networks; neural engineering framework; semantic pointer architecture; neuromorphic engineering
Theoretical Neuroscience
Principal investigators: Eliasmith, Chris
Theoretical Neuroscience
Principal investigators: Eliasmith, Chris
Theoretical Neuroscience
Principal investigators: Eliasmith, Chris
Keywords: theoretical neuroscience computational neuroscience ; neuroscience neuralrepresentation philosophy of mind large-scale neural modelling learning neural; networks cognitive science cognitive architectures
Large-scale neural models of cognitive function
Principal investigators: Eliasmith, Chris
Hyperparameter optimization for data mining
Principal investigators: Eliasmith, Chris
Applying neural representations to semantic text search
Principal investigators: Eliasmith, Chris
Large-scale neural and cognitive simulation
Principal investigators: Eliasmith, Chris
Theoretical Neuroscience
Principal investigators: Eliasmith, Chris
Keywords: CRC
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
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