Eric Hunsberger
Eric Hunsberger
Senior Research Scientist, Applied Brain Research
Verified email at uwaterloo.ca
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
2112014
Spiking deep networks with LIF neurons
E Hunsberger, C Eliasmith
arXiv preprint arXiv:1510.08829, 2015
1162015
Training spiking deep networks for neuromorphic hardware
E Hunsberger, C Eliasmith
arXiv preprint arXiv:1611.05141, 2016
742016
Benchmarking keyword spotting efficiency on neuromorphic hardware
P Blouw, X Choo, E Hunsberger, C Eliasmith
Proceedings of the 7th Annual Neuro-inspired Computational Elements Workshop …, 2019
412019
The competing benefits of noise and heterogeneity in neural coding
E Hunsberger, M Scott, C Eliasmith
Neural computation 26 (8), 1600-1623, 2014
252014
A neural model of human image categorization
E Hunsberger, P Blouw, J Bergstra, C Eliasmith
Proceedings of the Annual Meeting of the Cognitive Science Society 35 (35), 2013
82013
Spiking deep neural networks: Engineered and biological approaches to object recognition
E Hunsberger
University of Waterloo, 2018
52018
Feature-based resource allocation for real-time stereo disparity estimation
E Hunsberger, VR Osorio, J Orchard, BP Tripp
IEEE Access 5, 11645-11657, 2017
12017
Methods and systems for implementing deep spiking neural networks
EG Hunsberger, CD Eliasmith
US Patent App. 14/807,265, 2017
12017
System identification of adapting neurons
E Hunsberger
Technical report, Centre for Theoretical Neuroscience, Waterloo, ON, 2016
12016
Heterogeneity increases information transmission of neuronal populations
EG Hunsberger, M Scott, C Eliasmith
neuron 20 (30), 40, 0
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Articles 1–11