Bio
I am a PhD student in the UW Department of Philosophy. I received my BA in
English Literature from the University of Guelph (2010), and my MA in
philosophy from the University of Waterloo (2011).
Research
My research in the CNRG focuses on various aspects of language processing.
Currently, I am working on incorporating multi-word expressions into distributed
models of semantics. These models work well for representing the meanings of
individual words, but they have not yet been successfully extended to account for
the representation of more complex expressions as such word pairs, simple phrases,
and sentences. The well-known theoretical challenge associated with this project
is to understand how the meanings of complex expressions are related to both the
meanings of their constituent parts and the way in which these parts have been combined.
The more practical challenge is to develop models that can perform interesting semantic
tasks, and at the same time, be integrated with the work being done by other members of
the lab.
My other interests include theories of mental representation, theories of concepts,
and more broadly, philosophical work in the areas of mind, language, and logic.
Publications
Theses
Journal Articles
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Aaron R. Voelker,
Peter Blouw,
Xuan Choo,
Nicole Sandra-Yaffa Dumont,
Terrence C. Stewart,
Chris Eliasmith
(2021)
Simulating and Predicting Dynamical Systems With Spatial Semantic Pointers.
Neural Computation, 33(8):2033-2067.
Abstract
PDF
DOI
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Peter Blouw,
Chris Eliasmith
(2018)
Using neural networks to generate inferential roles for natural language.
Frontiers in Psychology, pages 1-14.
Abstract
PDF
DOI
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Peter Blouw,
Eugene Solodkin,
Paul Thagard,
Chris Eliasmith
(2016)
Concepts as semantic pointers: A framework and computational model.
Cognitive Science, 40(5):1128–1162.
Abstract
PDF
DOI
Conference and Workshop Papers
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Peter Blouw,
Gurshaant Malik,
Benjamin Morcos,
Aaron Voelker,
Chris Eliasmith
(2021)
Hardware Aware Training for Efficient Keyword Spotting on General Purpose and Specialized Hardware.
In TinyML Research Symposium.
Abstract
arXiv
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Peter Blouw,
Chris Eliasmith
(2020)
Event-Driven Signal Processing with Neuromorphic Computing Systems.
In 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Abstract
External link
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Florian Mirus,
Peter Blouw,
Terrence C. Stewart,
Jorg Conradt
(2019)
Predicting vehicle behaviour using LSTMs and a vector power representation for spatial positions.
In European Symposium on Artificial Neural Networks, 113–118. ESANN.
Abstract
PDF
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Peter Blouw,
Chris Eliasmith
(2017)
Inferential Role Semantics for Natural Language.
In Thora Tenbrink, Glenn Gunzelmann, Andrew Howes and Eddy Davelaar, editors, Proceedings of the 39th Annual Conference of the Cognitive Science Society, 142–147. Philadelphia, Pennsylvania. Cognitive Science Society.
Abstract
PDF
External link
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Bernd J. Kroger,
Trevor Bekolay,
Peter Blouw
(2016)
Modeling motor planning in speech production using the Neural Engineering Framework.
In Electronic Speech Signal Processing (ESSV), 15–22.
Abstract
PDF
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Peter Blouw,
Chris Eliasmith,
Brian Tripp
(2016)
A scaleable spiking neural model of action planning.
In Anna Papafragou Dan Grodner, Dan Mirman and John Trueswell, editors, Proceedings of the 38th Annual Conference of the Cognitive Science Society, 1583–1588. Philadelphia, Pennsylvania. Cognitive Science Society.
Abstract
PDF
External link
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Peter Blouw,
Chris Eliasmith
(2015)
Constraint-based parsing with distributed representations.
In 37th Annual Conference of the Cognitive Science Society, 238–243.
Abstract
PDF
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Terrence C. Stewart,
Peter Blouw,
Chris Eliasmith
(2015)
Explorations in Distributed Recurrent Biological Parsing.
In International Conference on Cognitive Modelling.
Abstract
PDF
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Peter Blouw,
Chris Eliasmith
(2013)
A Neurally Plausible Encoding of Word Order Information into a Semantic Vector Space.
In 35th Annual Conference of the Cognitive Science Society, 1905–1910.
Abstract
PDF
Poster
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Eric Hunsberger,
Peter Blouw,
James Bergstra,
Chris Eliasmith
(2013)
A Neural Model of Human Image Categorization.
In 35th Annual Conference of the Cognitive Science Society, 633–638. Cognitive Science Society.
Abstract
PDF
Technical Reports and Preprints