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
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
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
A solution to the dynamics of the prescribed error sensitivity learning rule
AR Voelker
Centre for Theoretical Neuroscience, Waterloo, 2015
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 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
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
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 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
Improving with practice: A neural model of mathematical development
S Aubin, AR Voelker, C Eliasmith
Topics in Cognitive Science 9 (1), 6-20, 2017
Methods and systems for implementing dynamic neural networks
AR Voelker, CD Eliasmith
US Patent 11,238,337, 2022
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