Terrence C. Stewart

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Explaining Reasoning Effects: A Neural Cognitive Model of Spatial Reasoning

Julia Wertheim, Terrence C. Stewart, 2018, CogSci.

Neural Planning and Reasoning Using the Synaptic Connections of the Basal Ganglia and Thalamus

Terrence C. Stewart, Chris Eliasmith, 2011, BICA.

Real time on-chip implementation of dynamical systems with spiking neurons

Steve B. Furber, Francesco Galluppi, Terrence C. Stewart, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Velocity Regulation of 3D Bipedal Walking Robots with Uncertain Dynamics Through Adaptive Neural Network Controller pdf

Bowen Weng, Wei Zhang, Terrence C. Stewart, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

A Mixture-of-Experts Model for Vehicle Prediction Using an Online Learning Approach

Jörg Conradt, Terrence C. Stewart, Chris Eliasmith, 2019, ICANN.

A biologically realistic cleanup memory: Autoassociation in spiking neurons

Terrence C. Stewart, Chris Eliasmith, Yichuan Tang, 2011, Cognitive Systems Research.

The Importance of Balanced Data Sets: Analyzing a Vehicle Trajectory Prediction Model based on Neural Networks and Distributed Representations

Jörg Conradt, Terrence C. Stewart, Florian Mirus, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Notes for the Development of a Philosophy of Computational Modelling 1

Terrence C. Stewart, T. Stewart, 2005 .

A spiking network classifies human sEMG signals and triggers finger reflexes on a robotic hand

Rüdiger Dillmann, Jacques Kaiser, Sandro Weber, 2020, Robotics Auton. Syst..

A General Purpose Architecture for Building Spiking Neuron Models of Biological Cognition

Terrence C. Stewart, Chris Eliasmith, 2013, CogSci.

Supervised Learning of Action Selection in Cognitive Spiking Neuron Models

Terrence C. Stewart, Chris Eliasmith, Sverrir Thorgeirsson, 2018, CogSci.

A functional spiking-neuron model of activity-silent working memory in humans based on calcium-mediated short-term synaptic plasticity

Terrence C. Stewart, Jelmer P. Borst, Matthijs Pals, 2019, bioRxiv.

Hierarchical Sequencing and Feedforward and Feedback Control Mechanisms in Speech Production: A Preliminary Approach for Modeling Normal and Disordered Speech

Trevor Bekolay, Catharina Marie Stille, Peter Blouw, 2020, Frontiers in Computational Neuroscience.

Benchmarking neuromorphic systems with Nengo

Trevor Bekolay, Terrence C. Stewart, Chris Eliasmith, 2015, Front. Neurosci..

Neuromorphic sensorimotor adaptation for robotic mobile manipulation: From sensing to behaviour

Jörg Conradt, Terrence C. Stewart, Cristian Axenie, 2018, Cognitive Systems Research.

Dynamic Action Selection in OpenAI Using Spiking Neural Networks

Terrence C. Stewart, Babak Esfandiari, Robert L. West, 2019, FLAIRS Conference.

Learning by Example with SpiNNaker, Nengo, and an Omnidirectional Robot

Jörg Conradt, Francesco Galluppi, Terrence C. Stewart, 2013 .

Detection of abnormal driving situations using distributed representations and unsupervised learning

Jörg Conradt, Terrence C. Stewart, Florian Mirus, 2020, ESANN.

Nengo: a Python tool for building large-scale functional brain models

Trevor Bekolay, Terrence C. Stewart, Chris Eliasmith, 2014, Front. Neuroinform..

A population-level approach to temperature robustness in neuromorphic systems

Terrence C. Stewart, Andrew Gilbert, Aaron Voelker, 2017, 2017 IEEE International Symposium on Circuits and Systems (ISCAS).

Implementation of the Neural Engineering Framework on the TrueNorth Neurosynaptic System

Andreas G. Andreou, Terrence C. Stewart, Kate D. Fischl, 2018, 2018 IEEE Biomedical Circuits and Systems Conference (BioCAS).

Braindrop: A Mixed-Signal Neuromorphic Architecture With a Dynamical Systems-Based Programming Model

Kwabena Boahen, Terrence C. Stewart, Chris Eliasmith, 2019, Proceedings of the IEEE.

Silicon Neurons That Compute

Kwabena Boahen, Terrence C. Stewart, Chris Eliasmith, 2012, ICANN.

Continuous and Parallel: Challenges for a Standard Model of the Mind

Terrence C. Stewart, Chris Eliasmith, C. Eliasmith, 2017, AAAI Fall Symposia.

A Common Neural Component for Finger Gnosis and Magnitude Comparison

Michael L. Anderson, Terrence C. Stewart, Marcie Penner-Wilger, 2017, CogSci.

A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm

Kwabena Boahen, Krishna V. Shenoy, Terrence C. Stewart, 2011, NIPS.

Functional knowledge requirements for interactive task learning

Terrence C. Stewart, Peter Pirolli, Robert E. Wray, 2018 .

Implementing NEF Neural Networks on Embedded FPGAs

Nachiket Kapre, Terrence C. Stewart, Chris Eliasmith, 2018, 2018 International Conference on Field-Programmable Technology (FPT).

Serendipitous Offline Learning in a Neuromorphic Robot

Jörg Conradt, Terrence C. Stewart, Andrew Mundy, 2016, Front. Neurorobot..

Testing for Equivalence: A Methodology for Computational Cognitive Modelling

Terrence C. Stewart, Robert L. West, T. Stewart, 2010, J. Artif. Gen. Intell..

Spaun: A Perception-Cognition-Action Model Using Spiking Neurons

Terrence C. Stewart, Chris Eliasmith, Feng-Xuan Choo, 2012, CogSci.

A neural model for insect steering applied to olfaction and path integration

Barbara Webb, Andrea Adden, Stanley Heinze, 2020, bioRxiv.

Inhibiting Basal Ganglia Regions Reduces Syllable Sequencing Errors in Parkinson's Disease: A Computer Simulation Study

Trevor Bekolay, Bernd J. Kröger, Terrence C. Stewart, 2018, Front. Comput. Neurosci..

Neural representations of compositional structures: representing and manipulating vector spaces with spiking neurons

Trevor Bekolay, Terrence C. Stewart, Chris Eliasmith, 2011, Connect. Sci..

Spike-based learning of transfer functions with the SpiNNaker neuromimetic simulator

Steve B. Furber, Terrence C. Stewart, Chris Eliasmith, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Neural Symbolic Decision Making: A Scalable and Realistic Foundation for Cognitive Architectures

Terrence C. Stewart, Chris Eliasmith, C. Eliasmith, 2010, BICA.

A Dynamic, Multi-Agent Model of Peer Group Formation

Terrence C. Stewart, Robert L. West, Robert Coplan, 2004, ICCM.

A Spiking Model of Desert Ant Navigation Along a Habitual Route

Terrence C. Stewart, Przemyslaw Nowak, 2017, MENDEL.

The Attentional Routing Circuit: Receptive Field Modulation Through Nonlinear Dendritic Interactions

Terrence C. Stewart, Chris Eliasmith, Bruce Bobier, 2011 .

Large-Scale Synthesis of Functional Spiking Neural Circuits

Terrence C. Stewart, Chris Eliasmith, C. Eliasmith, 2014, Proceedings of the IEEE.

Nengo and the Neural Engineering Framework: Connecting Cognitive Theory to Neuroscience

Terrence C. Stewart, Chris Eliasmith, 2011, CogSci.

Teaching Computational Modeling to Non-Computer Scientists

Terrence C. Stewart, T. Stewart, 2004, ICCM.

Neural Cognitive Modelling: A Biologically Constrained Spiking Neuron Model of the Tower of Hanoi Task

Terrence C. Stewart, Chris Eliasmith, C. Eliasmith, 2011, CogSci.

Flexible timing with delay networks–The scalar property and neural scaling

Terrence C. Stewart, Chris Eliasmith, Hedderik van Rijn, 2019 .

The Effects of Guanfacine and Phenylephrine on a Spiking Neuron Model of Working Memory

Terrence C. Stewart, Chris Eliasmith, Xuan Choo, 2017, Top. Cogn. Sci..

A Unifying Mechanistic Model of Selective Attention in Spiking Neurons

Terrence C. Stewart, Chris Eliasmith, Bruce A. Bobier, 2014, PLoS Comput. Biol..

Towards a Cognitively Realistic Representation of Word Associations

Thomas Wennekers, Terrence C. Stewart, Chris Eliasmith, 2016, CogSci.

Triggering Robot Hand Reflexes with Human EMG Data Using Spiking Neurons

Rüdiger Dillmann, Juan Camilo Vasquez Tieck, Arne Rönnau, 2018, IAS.

Socio-Emotional Robot with Distributed Multi-Platform Neuromorphic Processing : (Invited Presentation)

Andreas G. Andreou, Timothy K. Horiuchi, Terrence C. Stewart, 2019, 2019 53rd Annual Conference on Information Sciences and Systems (CISS).

A methodology for computational cognitive modelling

Terrence C. Stewart, T. Stewart, 2007 .

Low-Power Low-Latency Keyword Spotting and Adaptive Control with a SpiNNaker 2 Prototype and Comparison with Loihi pdf

Steve Furber, Terrence C. Stewart, Chris Eliasmith, 2020, Neuromorph. Comput. Eng..

World Models, Action Selection, Embodied Concept Formation, and Conditioning

Terrence C. Stewart, 2004, ICCM.

Extending the neural engineering framework for nonideal silicon synapses

Kwabena Boahen, Terrence C. Stewart, Chris Eliasmith, 2017, 2017 IEEE International Symposium on Circuits and Systems (ISCAS).

Closed-Loop Neuromorphic Benchmarks

Terrence C. Stewart, Chris Eliasmith, Ashley Kleinhans, 2015, Front. Neurosci..

Simple Agents Learning to Add Useful Structures to the World

Sanjay Chandrasekharan, Terrence C. Stewart, 2004, ICCM.

An Investigation of Vehicle Behavior Prediction Using a Vector Power Representation to Encode Spatial Positions of Multiple Objects and Neural Networks

Peter Blouw, Jörg Conradt, Terrence C. Stewart, 2019, Front. Neurorobot..

Parsing Sequentially Presented Commands in a Large-Scale Biologically Realistic Brain Model

Terrence C. Stewart, Chris Eliasmith, C. Eliasmith, 2013, CogSci.

Towards cognitive automotive environment modelling: reasoning based on vector representations

Jörg Conradt, Terrence C. Stewart, Florian Mirus, 2018, ESANN.

Predicting vehicle behaviour using LSTMs and a vector power representation for spatial positions

Peter Blouw, Jörg Conradt, Terrence C. Stewart, 2019, ESANN.

Neural Engineering Framework

Steve Furber, Terrence C. Stewart, Andrew Mundy, 2015 .

Spiking ratSLAM: Modelling Rat Hippocampus Place, Grid and Border Cells in Spiking Neural Hardware (Demo)

Ralph Etienne-Cummings, Steve Furber, Jörg Conradt, 2012 .

A neural representation of continuous space using fractional binding

Terrence C. Stewart, Chris Eliasmith, Aaron Voelker, 2019, CogSci.

Optimizing an Analog Neuron Circuit Design for Nonlinear Function Approximation

Kwabena Boahen, Terrence C. Stewart, Ben Varkey Benjamin, 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).

Deconstructing and reconstructing ACT-R: Exploring the architectural space

Terrence C. Stewart, Robert L. West, T. Stewart, 2007, Cognitive Systems Research.

Nengo and the Neural Engineering Framework: From Spikes to Cognition

Terrence C. Stewart, Chris Eliasmith, 2012, CogSci.

An efficient SpiNNaker implementation of the Neural Engineering Framework

Stephen B. Furber, Terrence C. Stewart, Andrew Mundy, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

An adaptive spiking neural controller for flapping insect-scale robots

Terrence C. Stewart, Chris Eliasmith, Silvia Ferrari, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Event-based neural computing on an autonomous mobile platform

Luis A. Plana, Jörg Conradt, Francesco Galluppi, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

The Origin of Epistemic Structures and Proto-Representations

Sanjay Chandrasekharan, Terrence C. Stewart, T. Stewart, 2007, Adapt. Behav..

Live Demonstration: Optimizing an Analog Neuron Circuit Design for Nonlinear Function Approximation

Kwabena Boahen, Terrence C. Stewart, Ben Varkey Benjamin, 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).

of the Annual Meeting of the Cognitive Science Society Title Symbolic Reasoning in Spiking Neurons : A Model of the Cortex / Basal Ganglia / Thalamus Loop

Terrence C. Stewart, Chris Eliasmith, Xuan Choo, 2010 .

Sentence processing in spiking neurons: A biologically plausible left-corner parser

Terrence C. Stewart, Chris Eliasmith, Feng-Xuan Choo, 2014, CogSci.

A Geometric Interpretation of Feedback Alignment

Terrence C. Stewart, Chris Eliasmith, Andreas Stöckel, 2019, CogSci.

A Biologically Constrained Model of Semantic Memory Search

Terrence C. Stewart, Chris Eliasmith, Ivana Kajic, 2017, CogSci.

Python Scripting in the Nengo Simulator

Terrence C. Stewart, Chris Eliasmith, Bryan P. Tripp, 2008, Front. Neuroinform..

Reservoir Memory Machines as Neural Computers pdf

Terrence C. Stewart, Alexander Schulz, Barbara Hammer, 2020, ArXiv.

Building Cognition from Spiking Neurons : Nengo and the Neural Engineering Framework

Terrence C. Stewart, 2017 .

The AHA! Experience: Creativity Through Emergent Binding in Neural Networks

Paul Thagard, Terrence C. Stewart, P. Thagard, 2011, Cogn. Sci..

A Neural Model of Context Dependent Decision Making in the Prefrontal Cortex

Terrence C. Stewart, Chris Eliasmith, Sugandha Sharma, 2016, CogSci.

Intention, Emotion, and Action: A Neural Theory Based on Semantic Pointers

Paul Thagard, Terrence C. Stewart, Tobias Schröder, 2014, Cogn. Sci..

Neural-symbolic networks for cognitive capacities

Kai-Uwe Kühnberger, Terrence C. Stewart, Tarek R. Besold, 2014, BICA 2014.

A Spiking Neuron Model of Word Associations for the Remote Associates Test

Thomas Wennekers, Terrence C. Stewart, Chris Eliasmith, 2017, Front. Psychol..

Multi-agent models of social dynamics in children

Terrence C. Stewart, Robert L. West, Robert Coplan, 2007, Cognitive Systems Research.

Tools and Techniques for Quantitative and Predictive Cognitive Science

Terrence C. Stewart, T. Stewart, 2006 .

The semantic pointer theory of emotion: Integrating physiology, appraisal, and construction

Paul Thagard, Terrence C. Stewart, Tobias Schröder, 2019, Cognitive Systems Research.

Analyzing the Capacity of Distributed Vector Representations to Encode Spatial Information

Jörg Conradt, Terrence C. Stewart, Florian Mirus, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Simulating and Predicting Dynamical Systems With Spatial Semantic Pointers

Peter Blouw, Terrence C. Stewart, Chris Eliasmith, 2021, Neural Computation.

Temporal Learning with Biologically Fitted SNN Models

Xiaochen Guo, Terrence C. Stewart, Yevgeny Berdichevsky, 2021, ICONS.

Estimating Levels of Engagement for Social Human-Robot Interaction using Legendre Memory Units

Serge Thill, Terrence C. Stewart, Madeleine E. Bartlett, 2021, HRI.

Editors' Introduction: Best Papers from the 18th International Conference on Cognitive Modeling

Terrence C. Stewart, Christopher W. Myers, 2021, Top. Cogn. Sci..

Connecting Biological Detail With Neural Computation: Application to the Cerebellar Granule-Golgi Microcircuit

Terrence C. Stewart, Chris Eliasmith, Andreas Stöckel, 2021, Top. Cogn. Sci..

Comparing Loihi with a SpiNNaker 2 prototype on low-latency keyword spotting and adaptive robotic control

Steve Furber, Terrence C. Stewart, Chris Eliasmith, 2021, Neuromorph. Comput. Eng..

Reservoir Memory Machines as Neural Computers

Barbara Hammer, Terrence C. Stewart, Alexander Schulz, 2021, IEEE transactions on neural networks and learning systems.

Spiking Neurons and Central Executive Control: The Origin of the 50-millisecond Cognitive Cycle

Terrence C. Stewart, Chris Eliasmith, C. Eliasmith, 2009 .

Two theories of consciousness: Semantic pointer competition vs. information integration

Paul Thagard, Terrence C. Stewart, P. Thagard, 2014, Consciousness and Cognition.

Building Production Systems with Realistic Spiking Neurons

Terrence C. Stewart, T. Stewart, 2008 .

Reduction of dopamine in basal ganglia and its effects on syllable sequencing in speech: A computer simulation study

Trevor Bekolay, Bernd J. Kröger, Terrence C. Stewart, 2016 .

A Technical Overview of the Neural Engineering Framework

Terrence C. Stewart, T. Stewart, 2012 .

Compositionality and Biologically Plausible Models

Terrence C. Stewart, Chris Eliasmith, C. Eliasmith, 2012 .