Publications by authors named "Chris Eliasmith"

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A spiking neural model of decision making and the speed-accuracy trade-off.
Peter Duggins, Chris Eliasmith

Psychol Rev· October 2025

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A unified neurocomputational model of prospective and retrospective timing.
Joost de Jong, Aaron R Voelker, Terrence C Stewart, Elkan G Akyürek, Chris Eliasmith

Psychol Rev· July 2025

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Modelling neural probabilistic computation using vector symbolic architectures.
P Michael Furlong, Chris Eliasmith

Cogn Neurodyn· December 2024

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A scalable spiking amygdala model that explains fear conditioning, extinction, renewal and generalization.
Peter Duggins, Chris Eliasmith

Eur J Neurosci· June 2024

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Exploiting semantic information in a spiking neural SLAM system.
Nicole Sandra-Yaffa Dumont, P Michael Furlong, Jeff Orchard, Chris Eliasmith

Front Neurosci· July 2023

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Biologically-Based Computation: How Neural Details and Dynamics Are Suited for Implementing a Variety of Algorithms.
Nicole Sandra-Yaffa Dumont, Andreas Stöckel, P Michael Furlong, Madeleine Bartlett, Chris Eliasmith

Brain Sci· January 2023

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Constructing functional models from biophysically-detailed neurons.
Peter Duggins, Chris Eliasmith

PLoS Comput Biol· September 2022

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Connecting Biological Detail With Neural Computation: Application to the Cerebellar Granule-Golgi Microcircuit.
Andreas Stöckel, Terrence C Stewart, Chris Eliasmith

Top Cogn Sci· July 2021

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Simulating and Predicting Dynamical Systems With Spatial Semantic Pointers.
Aaron R Voelker, Peter Blouw, Xuan Choo, Nicole Sandra-Yaffa Dumont, Terrence C Stewart, Chris Eliasmith

Neural Comput· July 2021

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CUE: A unified spiking neuron model of short-term and long-term memory.
Jan Gosmann, Chris Eliasmith

Psychol Rev· January 2021

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Passive Nonlinear Dendritic Interactions as a Computational Resource in Spiking Neural Networks.
Andreas Stöckel, Chris Eliasmith

Neural Comput· January 2021

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Nengo and Low-Power AI Hardware for Robust, Embedded Neurorobotics.
Travis DeWolf, Pawel Jaworski, Chris Eliasmith

Front Neurorobot· October 2020

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Vector-Derived Transformation Binding: An Improved Binding Operation for Deep Symbol-Like Processing in Neural Networks.
Jan Gosmann, Chris Eliasmith

Neural Comput· May 2019

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Inhibiting Basal Ganglia Regions Reduces Syllable Sequencing Errors in Parkinson's Disease: A Computer Simulation Study.
Valentin Senft, Terrence C Stewart, Trevor Bekolay, Chris Eliasmith, Bernd J Kröger

Front Comput Neurosci· June 2018

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Improving Spiking Dynamical Networks: Accurate Delays, Higher-Order Synapses, and Time Cells.
Aaron R Voelker, Chris Eliasmith

Neural Comput· March 2018

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Using Neural Networks to Generate Inferential Roles for Natural Language.
Peter Blouw, Chris Eliasmith

Front Psychol· January 2018

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A neural model of hierarchical reinforcement learning.
Daniel Rasmussen, Aaron Voelker, Chris Eliasmith

PLoS One· September 2017

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Automatic Optimization of the Computation Graph in the Nengo Neural Network Simulator.
Jan Gosmann, Chris Eliasmith

Front Neuroinform· May 2017

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A Spiking Neuron Model of Word Associations for the Remote Associates Test.
Ivana Kajić, Jan Gosmann, Terrence C Stewart, Thomas Wennekers, Chris Eliasmith

Front Psychol· February 2017

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The Effects of Guanfacine and Phenylephrine on a Spiking Neuron Model of Working Memory.
Peter Duggins, Terrence C Stewart, Xuan Choo, Chris Eliasmith

Top Cogn Sci· January 2017

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Improving With Practice: A Neural Model of Mathematical Development.
Sean Aubin, Aaron R Voelker, Chris Eliasmith

Top Cogn Sci· January 2017

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A spiking neural model of adaptive arm control.
Travis DeWolf, Terrence C Stewart, Jean-Jacques Slotine, Chris Eliasmith

Proc Biol Sci· November 2016

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Optimizing Semantic Pointer Representations for Symbol-Like Processing in Spiking Neural Networks.
Jan Gosmann, Chris Eliasmith

PLoS One· July 2016

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Modeling Interactions between Speech Production and Perception: Speech Error Detection at Semantic and Phonological Levels and the Inner Speech Loop.
Bernd J Kröger, Eric Crawford, Trevor Bekolay, Chris Eliasmith

Front Comput Neurosci· June 2016

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Function approximation in inhibitory networks.
Bryan Tripp, Chris Eliasmith

Neural Netw· May 2016

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