Aaron Russell Voelker
Aaron Russell Voelker
Applied Brain Research Inc.
Verified email at - Homepage
Cited by
Cited by
Nengo: a Python tool for building large-scale functional brain models
T Bekolay, J Bergstra, E Hunsberger, T DeWolf, TC Stewart, ...
Frontiers in neuroinformatics 7, 48, 2014
Braindrop: A mixed-signal neuromorphic architecture with a dynamical systems-based programming model
A Neckar, S Fok, BV Benjamin, TC Stewart, NN Oza, AR Voelker, ...
Proceedings of the IEEE 107 (1), 144-164, 2018
Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks
AR Voelker, I Kajić, C Eliasmith
Advances in Neural Information Processing Systems, 15544-15553, 2019
A neural model of hierarchical reinforcement learning
D Rasmussen, A Voelker, C Eliasmith
PloS one 12 (7), e0180234, 2017
Human-inspired neurorobotic system for classifying surface textures by touch
KE Friedl, AR Voelker, A Peer, C Eliasmith
IEEE Robotics and Automation Letters 1 (1), 516-523, 2016
A neural representation of continuous space using fractional binding
B Komer, TC Stewart, AR Voelker, C Eliasmith
Proceedings of the 41st Annual Meeting of the Cognitive Science Society, 2019
Improving spiking dynamical networks: Accurate delays, higher-order synapses, and time cells
AR Voelker, C Eliasmith
Neural computation 30 (3), 569-609, 2018
Learning large-scale heteroassociative memories in spiking neurons
AR Voelker, E Crawford, C Eliasmith
Unconventional Computation and Natural Computation 7 (2014), 2014
Dynamical systems in spiking neuromorphic hardware
AR Voelker
University of Waterloo, 2019
Efficiently sampling vectors and coordinates from the n-sphere and n-ball
AR Voelker, J Gosmann, TC Stewart
Centre for Theoretical Neuroscience-Technical Report 1, 2017
Efficient SpiNNaker simulation of a heteroassociative memory using the Neural Engineering Framework
J Knight, AR Voelker, A Mundy, C Eliasmith, S Furber
2016 International Joint Conference on Neural Networks (IJCNN), 5210-5217, 2016
A solution to the dynamics of the prescribed error sensitivity learning rule
AR Voelker
Centre for Theoretical Neuroscience, Waterloo, 2015
Simulating and predicting dynamical systems with spatial semantic pointers
AR Voelker, P Blouw, X Choo, NSY Dumont, TC Stewart, C Eliasmith
Neural Computation 33 (8), 2033-2067, 2021
Hardware aware training for efficient keyword spotting on general purpose and specialized hardware
P Blouw, G Malik, B Morcos, AR Voelker, C Eliasmith
arXiv preprint arXiv:2009.04465, 2020
Extending the Neural Engineering Framework for Nonideal Silicon Synapses
AR Voelker, BV Benjamin, TC Stewart, K Boahen, C Eliasmith
IEEE International Symposium on Circuits and Systems (ISCAS), 2017
A spike in performance: Training hybrid-spiking neural networks with quantized activation functions
AR Voelker, D Rasmussen, C Eliasmith
arXiv preprint arXiv:2002.03553, 2020
A Spiking Independent Accumulator Model for Winner-Take-All Computation
J Gosmann, AR Voelker, C Eliasmith
Proceedings of the 39th Annual Conference of the Cognitive Science Society, 2017
A Population-Level Approach to Temperature Robustness in Neuromorphic Systems
E Kauderer-Abrams, A Gilbert, AR Voelker, B Benjamin, TC Stewart, ...
IEEE International Symposium on Circuits and Systems (ISCAS), 2017
Representing spatial relations with fractional binding
T Lu, AR Voelker, B Komer, C Eliasmith
Proceedings of the 41st Annual Meeting of the Cognitive Science Society, 2019
Improving with practice: A neural model of mathematical development
S Aubin, AR Voelker, C Eliasmith
Topics in Cognitive Science 9 (1), 6-20, 2017
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