]
(Submitted). A Biologically Realistic Cleanup Memory: Autoassociation in Spiking Neurons.
Cognitive Systems Research.
(Submitted). Testing for Equivalence: A Methodology for Computational Cognitive Modeling.
Journal of Artificial General Intelligence.
(2010). A choice prediction competition for choices from experience and from description.
Journal of Behavioral Decision Making: Special edition on Decisions from Experience. 23(1), 15-47.
(2010). Symbolic Reasoning in Spiking Neurons: A Model of the Cortex/Basal Ganglia/Thalamus Loop.
32nd Annual Meeting of the Cognitive Science Society.
(2010). Dynamic Routing Model for Visuospatial Attention.
Cosyne 2010.
(2010). Nengo and the Neural Engineering Framework: Connecting Cognitive Theory to Neuroscience.
32nd Annual Meeting of the Cognitive Science Society.
(2009). Compositionality and biologically plausible models.
Oxford Handbook of Compositionality.
(2009). Python scripting in the Nengo simulator.
Frontiers in Neuroinformatics. 3(7), 1-9. [online] [pdf]
(2009). Spiking neurons and central executive control: The origin of the 50-millisecond cognitive cycle.
9th International Conference on Cognitive Modelling. [pdf][odt]
(2009). A biologically realistic cleanup memory: Autoassociation in spiking neurons.
9th International Conference on Cognitive Modelling. [pdf][odt]
(2009). Applying Cognitive Architectures to Decision-Making: How Cognitive Theory and the Equivalence Measure Triumphed in the Technion Prediction Tournament.
31st Annual Meeting of the Cognitive Science Society. [pdf][odt]
(2009). Errors in Speech Production: Explaining Mismatch and Accommodation.
31st Annual Meeting of the Cognitive Science Society. [pdf][odt]
(2009). Cognitive Modelling with the Neural Engineering Framework.
9th International Conference on Cognitive Modelling. [pdf][odt]
(2008). Building production systems with realistic spiking neurons.
30th Annual Meeting of the Cognitive Science Society. [online] [pdf][odt]
(2007). Deconstructing and reconstructing ACT-R: Exploring the architectural space.
Cognitive Systems Research. 8(3), 227-236. [online]
(2007). Multi-agent models of social dynamics in children.
Cognitive Systems Research. 8(1), 1-14. [online]
(2007). The origin of epistemic structures and proto-representations.
Adaptive Behaviour. 15(3), 329-359. [online]
(2007). Equivalence: A novel basis for model comparison.
29th Annual Meeting of the Cognitive Science Society. [pdf]
(2007). Building search engines for Algonquian languages.
39th Algonquian Conference.
(2007). Cognitive Redeployment in ACT-R: Salience, Vision, and Memory.
8th International Conference on Cognitive Modelling. [online] [pdf]
(2007). A Methodology for Computational Cognitive Modelling.
Carleton University Institute of Cognitive Science. Ph.D. [pdf]
(2006). Embodied decisions: Models of decision making within a larger cognitive framework.
Cognitive decision-making: Empirical and foundational issues.
(2006). Deconstructing ACT-R.
7th International Conference on Cognitive Modelling. [pdf][odt]
(2006). Tools and Techniques for Quantitative and Predictive Cognitive Science.
28th Annual Meeting of the Cognitive Science Society. [pdf][odt]
(2005). Stochastic Resonance in Human Cognition: ACT-R Versus Game Theory, Associative Neural Networks, Recursive Neural Networks, Q-Learning, and Humans.
27th Annual Meeting of the Cognitive Science Society. [pdf][doc]
(2005). Notes for the Development of a Philosophy of Computational Modelling.
Carleton University Cognitive Science Technical Report 2005-04. [pdf]
(2005). Two Cognitive Descriptions of Q-Learning.
Carleton University Cognitive Science Technical Report 2005-03. [pdf]
(2004). Reactive Agents Learn to Add Epistemic Structures to the World.
First Joint Conference of the Society for Philosophy and Psychology and the European Society for Philosophy and Psychology. [pdf]
(2004). Teaching Computational Modelling to Non-Computer Scientists.
6th International Conference on Cognitive Modelling. [pdf]
(2004). A Dynamic, Multi-Agent Model of Peer Group Formation.
6th International Conference on Cognitive Modelling. [pdf]
(2004). Simple Agents Learning to Add Useful Structures to the World.
6th International Conference on Cognitive Modelling. [pdf]
(2003). Four Forms of Information.
Carleton University Cognitive Science Technical Report 2003-06. [pdf][rtf]
(2001). Levels of Description: A Role for Robots in Cognitive Science Education.
PHICS Graduate Student Conference, Carleton University. [pdf]
(2001). Extrema Selection: Accelerated Evolution on Neutral Networks.
IEEE Congress on Evolutionary Computation. [pdf]
(2001). Conditioning and Concept Formation in Embodied Agents.
AAAI Spring Symposium. [ps]
(2000). Neural Models of Concept Formation and Conditioning: A Literature Review.
University of Sussex School of Cognitive and Computing Sciences Technical Report CSRP-524. [online] [ps]
(2000). Learning in Artificial Life: Conditioning, Concept Formation, and Sensorimotor Loops.
University of Sussex School of Cognitive and Computing Sciences. M.Phil. [online] [ps]