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Akademický článek

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

Autor: Bernd J. Kröger, Catharina Marie Stille, Peter Blouw, Trevor Bekolay, Terrence C. Stewart

Publikováno v: Frontiers in Computational Neuroscience, Vol 14 (2020)

Our understanding of the neurofunctional mechanisms of speech production and their pathologies is still incomplete. In this paper, a comprehensive model of speech production based on the Neural Engineering Framework (NEF) is presented. This model is

Externí odkaz: https://doaj.org/article/360bd5e854f04ea0bcd30c56c203ec1b

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Akademický článek

Modeling the Mental Lexicon as Part of Long-Term and Working Memory and Simulating Lexical Access in a Naming Task Including Semantic and Phonological Cues

Autor: Catharina Marie Stille, Trevor Bekolay, Peter Blouw, Bernd J. Kröger

Publikováno v: Frontiers in Psychology, Vol 11 (2020)

BackgroundTo produce and understand words, humans access the mental lexicon. From a functional perspective, the long-term memory component of the mental lexicon is comprised of three levels: the concept level, the lemma level, and the phonological le

Externí odkaz: https://doaj.org/article/184476d7c38c4995ad1a15642db100a2

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Akademický článek

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

Autor: Florian Mirus, Peter Blouw, Terrence C. Stewart, Jörg Conradt

Publikováno v: Frontiers in Neurorobotics, Vol 13 (2019)

Predicting future behavior and positions of other traffic participants from observations is a key problem that needs to be solved by human drivers and automated vehicles alike to safely navigate their environment and to reach their desired goal. In t

Externí odkaz: https://doaj.org/article/5ca2feff614d446f8159c76239cea357

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Akademický článek

Natural Language Processing in Large-Scale Neural Models for Medical Screenings

Autor: Catharina Marie Stille, Trevor Bekolay, Peter Blouw, Bernd J. Kröger

Publikováno v: Frontiers in Robotics and AI, Vol 6 (2019)

Many medical screenings used for the diagnosis of neurological, psychological or language and speech disorders access the language and speech processing system. Specifically, patients are asked to fulfill a task (perception) and then requested to giv

Externí odkaz: https://doaj.org/article/195d503f7d044cceb346dfa72521125c

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Akademický článek

Using Neural Networks to Generate Inferential Roles for Natural Language

Autor: Peter Blouw, Chris Eliasmith

Publikováno v: Frontiers in Psychology, Vol 8 (2018)

Neural networks have long been used to study linguistic phenomena spanning the domains of phonology, morphology, syntax, and semantics. Of these domains, semantics is somewhat unique in that there is little clarity concerning what a model needs to be

Externí odkaz: https://doaj.org/article/621bb1b777cc45c5b6e5ff8b7c0b0b1e

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Simulating and predicting dynamical systems with spatial semantic pointers

Autor: Peter Blouw, Aaron R. Voelker, Xuan Choo, Terrence C. Stewart, Nicole Sandra-Yaffa Dumont, Chris Eliasmith

While neural networks are highly effective at learning task-relevant representations from data, they typically do not learn representations with the kind of symbolic structure that is hypothesized to support high-level cognitive processes, nor do the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f56aa69988704d82e73a0eb4f2761ca5
https://nrc-publications.canada.ca/eng/view/object/?id=2c04ad45-d0c3-4065-bcf2-3327803c2fef

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Event-Driven Signal Processing with Neuromorphic Computing Systems

Autor: Chris Eliasmith, Peter Blouw

Publikováno v: ICASSP

Neuromorphic hardware has long promised to provide power advantages by leveraging the kind of event-driven, temporally sparse computation observed in biological neural systems. Only recently, however, has this hardware been developed to a point that

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::437360e370376264c84a1a0e29ebbd99
https://doi.org/10.1109/icassp40776.2020.9053043

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Natural Language Processing in Large-Scale Neural Models for Medical Screenings

Autor: Catharina Marie Stille, Trevor Bekolay, Peter Blouw, Bernd J. Kröger

Publikováno v: Frontiers in Robotics and AI
Frontiers in robotics and AI 6, 62 (2019). doi:10.3389/frobt.2019.00062
Frontiers in Robotics and AI, Vol 6 (2019)

Frontiers in robotics and AI 6, 62 (2019). doi:10.3389/frobt.2019.00062
Published by Lausanne

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20d3a5a126e3453476ec4c6354273cf2
https://pubmed.ncbi.nlm.nih.gov/33501077

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Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware

Autor: Xuan Choo, Peter Blouw, Eric Hunsberger, Chris Eliasmith

Using Intel's Loihi neuromorphic research chip and ABR's Nengo Deep Learning toolkit, we analyze the inference speed, dynamic power consumption, and energy cost per inference of a two-layer neural network keyword spotter trained to recognize a single

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::455aab504bed085f7d2322434e2cb19f
http://arxiv.org/abs/1812.01739

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Gettier Cases: A Taxonomy

Autor: John Turri, Peter Blouw, Wesley Buckwalter

Publikováno v: SSRN Electronic Journal.

The term "Gettier Case" is a technical term frequently applied to a wide array of thought experiments in contemporary epistemology. What do these cases have in common? It is said that they all involve a justified true belief which, intuitively, is no

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f3928c2bb6e4c670053a3e13e638220a
https://doi.org/10.2139/ssrn.3650477

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