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Aaron Russell Voelker
Aaron Russell Voelker
Applied Brain Research Inc.
Verified email at uwaterloo.ca - Homepage
Title
Cited by
Cited by
Year
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
3792014
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
1302018
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
802019
A neural model of hierarchical reinforcement learning
D Rasmussen, A Voelker, C Eliasmith
PloS one 12 (7), e0180234, 2017
572017
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
482016
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
312019
Improving spiking dynamical networks: Accurate delays, higher-order synapses, and time cells
AR Voelker, C Eliasmith
Neural computation 30 (3), 569-609, 2018
312018
Learning large-scale heteroassociative memories in spiking neurons
AR Voelker, E Crawford, C Eliasmith
Unconventional Computation and Natural Computation 7, 2014, 2014
242014
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
232016
Dynamical systems in spiking neuromorphic hardware
AR Voelker
University of Waterloo, 2019
202019
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
192017
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
132017
A solution to the dynamics of the prescribed error sensitivity learning rule
AR Voelker
Centre for Theoretical Neuroscience, Waterloo, 2015
132015
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
122020
Efficiently sampling vectors and coordinates from the n-sphere and n-ball
AR Voelker, J Gosmann, TC Stewart
Centre for Theoretical Neuroscience-Technical Report, 2017
122017
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
102017
Improving with practice: A neural model of mathematical development
S Aubin, AR Voelker, C Eliasmith
Topics in Cognitive Science 9 (1), 6-20, 2017
102017
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
92020
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
82021
Point neurons with conductance-based synapses in the Neural Engineering Framework
A Stöckel, AR Voelker, C Eliasmith
arXiv preprint arXiv:1710.07659, 2017
82017
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