| 2025 | CogSci | A Cognitively Plausible Visual Working Memory Model. | Anna Penzkofer, P. Michael Furlong, Chris Eliasmith, Andreas Bulling |
| 2025 | EMNLP | Improving Rule-based Reasoning in LLMs using Neurosymbolic Representations. | Varun Dhanraj, Chris Eliasmith |
| 2024 | ICANN | Biologically-Plausible Markov Chain Monte Carlo Sampling from Vector Symbolic Algebra-Encoded Distributions. | P. Michael Furlong, Kathryn Simone, Nicole Sandra-Yaffa Dumont, Madeleine Bartlett, Terrence C. Stewart, Jeff Orchard, Chris Eliasmith |
| 2022 | CogSci | Reinforcement Learning, Social Value Orientation, and Decision Making: Computational Models and Empirical Validation. | Peter Duggins, Terrence C. Stewart, Chris Eliasmith |
| 2022 | CogSci | A model of path integration that connects neural and symbolic representation. | Nicole Sandra-Yaffa Dumont, Jeff Orchard, Chris Eliasmith |
| 2022 | CogSci | Fractional Binding in Vector Symbolic Architectures as Quasi-Probability Statements. | P. Michael Furlong, Chris Eliasmith |
| 2021 | CogSci | A Neurocomputational Model of Prospective and Retrospective Timing. | Joost de Jong, Aaron R. Voelker, Terrence C. Stewart, Chris Eliasmith, Elkan G. Akyrek, Hedderik van Rijn |
| 2021 | CoRL | Continuous then discrete: A recommendation for building robotic brains. | Chris Eliasmith, P. Michael Furlong |
| 2021 | ICML | Parallelizing Legendre Memory Unit Training. | Narsimha Reddy Chilkuri, Chris Eliasmith |
| 2020 | CogSci | A spiking neural architecture for conscious chaining of mental operations. | Hugo Chateau-Laurent, Chris Eliasmith, Serge Thill |
| 2020 | CogSci | Accurate representation for spatial cognition using grid cells. | Nicole Dumont, Chris Eliasmith |
| 2020 | CogSci | Efficient navigation using a scalable, biologically inspired spatial representation. | Brent Komer, Chris Eliasmith |
| 2020 | CogSci | A Biologically Plausible Spiking Neural Model of Eyeblink Conditioning in the Cerebellum. | Andreas Stckel, Terrence C. Stewart, Chris Eliasmith |
| 2020 | ICASSP | Event-Driven Signal Processing with Neuromorphic Computing Systems. | Peter Blouw, Chris Eliasmith |
| 2019 | CogSci | A neural representation of continuous space using fractional binding. | Brent Komer, Terrence C. Stewart, Aaron Voelker, Chris Eliasmith |
| 2019 | CogSci | Representing spatial relations with fractional binding. | Thomas Lu, Aaron Voelker, Brent Komer, Chris Eliasmith |
| 2019 | CogSci | A Geometric Interpretation of Feedback Alignment. | Andreas Stckel, Terrence C. Stewart, Chris Eliasmith |
| 2019 | ICANN | A Mixture-of-Experts Model for Vehicle Prediction Using an Online Learning Approach. | Florian Mirus, Terrence C. Stewart, Chris Eliasmith, Jrg Conradt |
| 2018 | CogSci | Supervised Learning of Action Selection in Cognitive Spiking Neuron Models. | Terrence C. Stewart, Sverrir Thorgeirsson, Chris Eliasmith |
| 2017 | CogSci | Inferential Role Semantics for Natural Language. | Peter Blouw, Chris Eliasmith |
| 2017 | CogSci | A Spiking Independent Accumulator Model for Winner-Take-All Computation. | Jan Gosmann, Aaron Voelker, Chris Eliasmith |
| 2017 | CogSci | A Biologically Constrained Model of Semantic Memory Search. | Ivana Kajic, Jan Gosmann, Brent Komer, Ryan W. Orr, Terrence C. Stewart, Chris Eliasmith |
| 2017 | CogSci | A Spiking Neural Bayesian Model of Life Span Inference. | Sugandha Sharma, Aaron Voelker, Chris Eliasmith |
| 2017 | ISCAS | Extending the neural engineering framework for nonideal silicon synapses. | Aaron R. Voelker, Ben Varkey Benjamin, Terrence C. Stewart, Kwabena Boahen, Chris Eliasmith |
| 2016 | CogSci | Improving with Practice: A Neural Model of Mathematical Development. | Sean Aubin, Aaron Voelker, Chris Eliasmith |
| 2016 | CogSci | A scaleable spiking neural model of action planning. | Peter Blouw, Chris Eliasmith, Bryan P. Tripp |
| 2016 | CogSci | Towards a Cognitively Realistic Representation of Word Associations. | Ivana Kajic, Jan Gosmann, Terrence C. Stewart, Thomas Wennekers, Chris Eliasmith |
| 2016 | CogSci | A Neural Model of Context Dependent Decision Making in the Prefrontal Cortex. | Sugandha Sharma, Brent Komer, Terrence C. Stewart, Chris Eliasmith |
| 2016 | ICANN | Real-Time FPGA Simulation of Surrogate Models of Large Spiking Networks. | Murphy Berzish, Chris Eliasmith, Bryan P. Tripp |
| 2016 | IJCNN | Efficient SpiNNaker simulation of a heteroassociative memory using the Neural Engineering Framework. | James C. Knight, Aaron R. Voelker, Andrew Mundy, Chris Eliasmith, Steve B. Furber |
| 2015 | CogSci | Constraint-Based Parsing with Distributed Representations. | Peter Blouw, Chris Eliasmith |
| 2015 | CogSci | A Spiking Neural Model of the n-Back Task. | Jan Gosmann, Chris Eliasmith |
| 2014 | CogSci | Neural Field Coding of Short Term Memory. | Dimitris A. Pinotsis, Chris Eliasmith |
| 2014 | CogSci | A neural model of hierarchical reinforcement learning. | Daniel Rasmussen, Chris Eliasmith |
| 2014 | CogSci | Sentence processing in spiking neurons: A biologically plausible left-corner parser. | Terrence C. Stewart, Feng-Xuan Choo, Chris Eliasmith |
| 2014 | ICRA | Event-based neural computing on an autonomous mobile platform. | Francesco Galluppi, Christian Denk, Matthias C. Meiner, Terrence C. Stewart, Luis A. Plana, Chris Eliasmith, Stephen B. Furber, Jrg Conradt |
| 2014 | ISCAS | Mapping arbitrary mathematical functions and dynamical systems to neuromorphic VLSI circuits for spike-based neural computation. | Federico Corradi, Chris Eliasmith, Giacomo Indiveri |
| 2013 | CogSci | Simultaneous unsupervised and supervised learning of cognitive functions in biologically plausible spiking neural networks. | Trevor Bekolay, Carter Kolbeck, Chris Eliasmith |
| 2013 | CogSci | A Neurally Plausible Encoding of Word Order Information into a Semantic Vector Space. | Peter Blouw, Chris Eliasmith |
| 2013 | CogSci | General Instruction Following in a Large-Scale Biologically Plausible Brain Model. | Feng-Xuan Choo, Chris Eliasmith |
| 2013 | CogSci | Biologically Plausible, Human-scale Knowledge Representation. | Eric Crawford, Matthew Gingerich, Chris Eliasmith |
| 2013 | CogSci | A General Purpose Architecture for Building Spiking Neuron Models of Biological Cognition. | Chris Eliasmith, Terrence C. Stewart |
| 2013 | CogSci | A Neural Model of Human Image Categorization. | Eric Hunsberger, Peter Blouw, James Bergstra, Chris Eliasmith |
| 2013 | CogSci | Visual motion processing and perceptual decision making. | Aziz Hurzook, Oliver Trujillo, Chris Eliasmith |
| 2013 | CogSci | A neural reinforcement learning model for tasks with unknown time delays. | Daniel Rasmussen, Chris Eliasmith |
| 2013 | CogSci | Parsing Sequentially Presented Commands in a Large-Scale Biologically Realistic Brain Model. | Terrence C. Stewart, Chris Eliasmith |
| 2013 | IJCNN | Spike-based learning of transfer functions with the SpiNNaker neuromimetic simulator. | Sergio Davies, Terry C. Stewart, Chris Eliasmith, Steve B. Furber |
| 2012 | CogSci | Thirty years of Marr's Vision: Levels of Analysis in Cognitive Science. | Chris Eliasmith, Thomas L. Griffiths, Valerie Gray Hardcastle, Bradley C. Love, William Bechtel, Richard P. Cooper, David Peebles |
| 2012 | CogSci | Nengo and the Neural Engineering Framework: From Spikes to Cognition. | Chris Eliasmith, Terrence C. Stewart |
| 2012 | CogSci | Spaun: A Perception-Cognition-Action Model Using Spiking Neurons. | Terrence C. Stewart, Feng-Xuan Choo, Chris Eliasmith |
| 2012 | ICANN | Silicon Neurons That Compute. | Swadesh Choudhary, Steven Sloan, Sam Fok, Alexander Neckar, Eric Trautmann, Peiran Gao, Terry C. Stewart, Chris Eliasmith, Kwabena Boahen |
| 2012 | IJCNN | Real time on-chip implementation of dynamical systems with spiking neurons. | Francesco Galluppi, Sergio Davies, Steve B. Furber, Terry C. Stewart, Chris Eliasmith |
| 2011 | CogSci | Nengo and the Neural Engineering Framework: Connecting Cognitive Theory to Neuroscience. | Chris Eliasmith, Terrence C. Stewart |
| 2011 | CogSci | Neural Cognitive Modelling: A Biologically Constrained Spiking Neuron Model of the Tower of Hanoi Task. | Terrence C. Stewart, Chris Eliasmith |
| 2010 | ICML | Deep networks for robust visual recognition. | Yichuan Tang, Chris Eliasmith |
| 2009 | FQAS | Representing Context Information for Document Retrieval. | Maya Carrillo, Esa Villatoro-Tello, Aurelio Lpez-Lpez, Chris Eliasmith, Manuel Montes-y-Gmez, Luis Villaseor-Pineda |
| 2008 | ECIR | Integrating Structure and Meaning: A New Method for Encoding Structure for Text Classification. | Jonathan M. Fishbein, Chris Eliasmith |
| 2008 | ECIR | Methods for Augmenting Semantic Models with Structural Information for Text Classification. | Jonathan M. Fishbein, Chris Eliasmith |