Refereed Journal Articles

Voelker, A., Blouw, P., Choo, X., Dumont, N., Stewart, T. & Eliasmith, C. (2021). Simulating and predicting dynamical systems with spatial semantic pointers. Neural Computation. 33 (8): 2033–2067.

Blouw, P. & Eliasmith, C. (2018). Using neural networks to generate inferential roles for natural language. Frontiers in Psychology, 8(2335): 1-14.

Blouw, P. Solodkin, E., Thagard, P. & Eliasmith, C. (2016). Concepts as semantic pointers: A framework and computational model. Cognitive Science, 40(5): 1128-1162.

Turri, J., Buckwalter, W., & Blouw, P. (2015). Knowledge and luck. Psychonomic Bulletin & Review 22(2): 378-390.

Turri, J., & Blouw, P. (2015). Excuse validation: A study in rule-breaking. Philosophical Studies 172(3): 615-634.

Refereed Conference Proceedings

Blouw, P., Malik, G., Morcos, B., Voelker, A., & Eliasmith, C. (2021). Hardware aware training for efficient keyword spotting on general purpose and specialized hardware. TinyML Summit 2021.

Blouw, P. & Eliasmith, C. (2020). Event-driven signal processing with neuromorphic computing systems. International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (pp. 8534-8538).

Blouw, P., Choo, X., Hunsberger, E., & Eliasmith, C. (2019). Benchmarking keyword spotting efficiency on neuromorphic hardware. Proceedings of the 7th Annual Neuro-inspired Computational Elements Workshop, (pp. 1-8).

Blouw, P. & Eliasmith, C. (2017). Inferential role semantics for natural language. In Proceedings of the 39th Annual Conference of the Cognitive Science Society, (pp. 142-147). Best Paper Prize for Computational Modelling of Languge

Blouw, P., Eliasmith, C., & Tripp, B. (2016). A scalable spiking neuron model of action planning. In Proceedings of the 38th Annual Conference of the Cognitive Science Society, (pp. 1583-1588).

Kroger, B., Bekolay, T., & Blouw, P. (2016). Modeling motor planning in speech production using the neural engineering framework. In Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung, (pp. 15-22).

Blouw, P. & Eliasmith, C. (2015). Constraint-based parsing with distributed representations. In Proceedings of the 37th Annual Conference of the Cognitive Science Society, (pp. 1583-1588).

Turri, J., Blouw, P. & Buckwalter, W. (2014). Knowledge and luck. In Proceedings of the 36th Annual Conference of the Cognitive Science Society, (pp. 1583-1588).

Blouw, P. & Eliasmith, C. (2013). A neurally-plausible encoding of word order information into a semantic vector space. In Proceedings of the 35th Annual Conference of the Cognitive Science Society, (pp. 1905-1910).

Hunsberger, E., Blouw, P., Bergstra, J. & Eliasmith, C. (2013). A neural model of human image categorization. In Proceedings of the 35th Annual Conference of the Cognitive Science Society, (pp. 633-638).

Book Chapters

Blouw, P., Buckwalter, W. & Turri, J. (2017). Gettier cases: A taxonomy. In R. Borges, C. de Almeida, & P. Klein (Eds.) Explaining knowledge: New essays on the Gettier problem, (pp. 242-252). Oxford University Press.


Blouw, P. (2017). Inferential Role Semantics for Natural Language. University of Waterloo Doctoral Thesis.

Blouw, P. (2011). A Dynamic Account of the Structure of Concepts. University of Waterloo Masters Thesis.


Voelker, A., Blouw, P., Dumont, N., Stewart, T., and Eliasmith, C. (pending). Methods and systems for simulating and predicting dynamical systems with vector-symbolic representations. US Patent Application 17/520,379, filed November 5, 2021.

Voelker, A., Eliasmith, C., and Blouw, P. (2023). Methods and systems for storing and querying database entries with neuromorphic computers. US Patent 11741098.

Blouw, P. and Eliasmith C. (2020). Methods and systems for generating and traversing discourse graphs using artificial neural networks. US Patent 10860630