| 2024 | CogSci | Using Vector Symbolic Architectures for Distributed Action Representations in a Spiking Model of the Basal Ganglia. | Madeleine Bartlett, P. Michael Furlong, Terrence C. Stewart, Jeff Orchard |
| 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 | Biologically-Based Neural Representations Enable Fast Online Shallow Reinforcement Learning. | Madeleine Bartlett, Terrence C. Stewart, Jeff Orchard |
| 2022 | CogSci | Reinforcement Learning, Social Value Orientation, and Decision Making: Computational Models and Empirical Validation. | Peter Duggins, Terrence C. Stewart, 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 | CogSci | Biologically Constrained Large-Scale Model of the Wisconsin Card Sorting Test. | Ivana Kajic, Terrence C. Stewart |
| 2021 | HRI | Estimating Levels of Engagement for Social Human-Robot Interaction using Legendre Memory Units. | Madeleine E. Bartlett, Terrence C. Stewart, Serge Thill |
| 2020 | CogSci | A Biologically Plausible Spiking Neural Model of Eyeblink Conditioning in the Cerebellum. | Andreas Stckel, Terrence C. Stewart, Chris Eliasmith |
| 2020 | CogSci | A Re-Implementation of a Dynamic Field Theory Model of Mental Maps using Python and Nengo. | Rabea Turon, Paulina Friemann, Terrence C. Stewart, Marco Ragni |
| 2020 | ESANN | Detection of abnormal driving situations using distributed representations and unsupervised learning. | Florian Mirus, Terrence C. Stewart, Jrg Conradt |
| 2020 | IJCNN | The Importance of Balanced Data Sets: Analyzing a Vehicle Trajectory Prediction Model based on Neural Networks and Distributed Representations. | Florian Mirus, Terrence C. Stewart, Jrg Conradt |
| 2020 | IJCNN | Analyzing the Capacity of Distributed Vector Representations to Encode Spatial Information. | Florian Mirus, Terrence C. Stewart, Jrg Conradt |
| 2020 | IROS | Velocity Regulation of 3D Bipedal Walking Robots with Uncertain Dynamics Through Adaptive Neural Network Controller. | Guillermo A. Castillo, Bowen Weng, Terrence C. Stewart, Wei Zhang, Ayonga Hereid |
| 2019 | CISS | Socio-Emotional Robot with Distributed Multi-Platform Neuromorphic Processing : (Invited Presentation). | Kate D. Fischl, Adam B. Cellon, Terrence C. Stewart, Timothy K. Horiuchi, Andreas G. Andreou |
| 2019 | CogSci | A neural representation of continuous space using fractional binding. | Brent Komer, Terrence C. Stewart, Aaron Voelker, Chris Eliasmith |
| 2019 | CogSci | A Geometric Interpretation of Feedback Alignment. | Andreas Stckel, Terrence C. Stewart, Chris Eliasmith |
| 2019 | ESANN | Predicting vehicle behaviour using LSTMs and a vector power representation for spatial positions. | Florian Mirus, Peter Blouw, Terrence C. Stewart, Jrg Conradt |
| 2019 | FlAIRS | Dynamic Action Selection in OpenAI Using Spiking Neural Networks. | Chad Peters, Terrence C. Stewart, Robert L. West, Babak Esfandiari |
| 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 |
| 2018 | CogSci | Explaining Reasoning Effects: A Neural Cognitive Model of Spatial Reasoning. | Julia Wertheim, Terrence C. Stewart |
| 2018 | ESANN | Towards cognitive automotive environment modelling: reasoning based on vector representations. | Florian Mirus, Terrence C. Stewart, Jrg Conradt |
| 2018 | IAS | Triggering Robot Hand Reflexes with Human EMG Data Using Spiking Neurons. | Juan Camilo Vasquez Tieck, Sandro Weber, Terrence C. Stewart, Arne Roennau, Rdiger Dillmann |
| 2018 | ISCAS | Live Demonstration: Optimizing an Analog Neuron Circuit Design for Nonlinear Function Approximation. | Alexander Neckar, Terrence C. Stewart, Ben Varkey Benjamin, Kwabena Boahen |
| 2018 | ISCAS | Optimizing an Analog Neuron Circuit Design for Nonlinear Function Approximation. | Alexander Neckar, Terrence C. Stewart, Ben Varkey Benjamin, Kwabena Boahen |
| 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 Common Neural Component for Finger Gnosis and Magnitude Comparison. | Terrence C. Stewart, Marcie Penner-Wilger, Rylan J. Waring, Michael L. Anderson |
| 2017 | ISCAS | A population-level approach to temperature robustness in neuromorphic systems. | Eric Kauderer-Abrams, Andrew Gilbert, Aaron Voelker, Ben Varkey Benjamin, Terrence C. Stewart, Kwabena Boahen |
| 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 | 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 |
| 2015 | IJCNN | An efficient SpiNNaker implementation of the Neural Engineering Framework. | Andrew Mundy, James C. Knight, Terrence C. Stewart, Stephen B. Furber |
| 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 |
| 2013 | CogSci | A General Purpose Architecture for Building Spiking Neuron Models of Biological Cognition. | Chris Eliasmith, Terrence C. Stewart |
| 2013 | CogSci | Parsing Sequentially Presented Commands in a Large-Scale Biologically Realistic Brain Model. | Terrence C. Stewart, Chris Eliasmith |
| 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 |
| 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 |