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Eric Hunsberger
Eric Hunsberger
Senior Research Scientist, Applied Brain Research
Verified email at uwaterloo.ca
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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
5292014
Spiking deep networks with LIF neurons
E Hunsberger, C Eliasmith
arXiv preprint arXiv:1510.08829, 2015
3062015
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
2052019
Training spiking deep networks for neuromorphic hardware
E Hunsberger, C Eliasmith
arXiv preprint arXiv:1611.05141, 2016
1702016
The competing benefits of noise and heterogeneity in neural coding
E Hunsberger, M Scott, C Eliasmith
Neural computation 26 (8), 1600-1623, 2014
502014
A spiking neural network for image segmentation
K Patel, E Hunsberger, S Batir, C Eliasmith
arXiv preprint arXiv:2106.08921, 2021
442021
Spiking deep neural networks: Engineered and biological approaches to object recognition
E Hunsberger
University of Waterloo, 2018
172018
Proceedings of the 7th Annual Neuro-Inspired Computational Elements Workshop
P Blouw, X Choo, E Hunsberger, C Eliasmith
102019
Methods and systems for implementing deep spiking neural networks
EG Hunsberger, CD Eliasmith
US Patent 11,126,913, 2021
92021
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
Language modeling using lmus: 10x better data efficiency or improved scaling compared to transformers
N Chilkuri, E Hunsberger, A Voelker, G Malik, C Eliasmith
arXiv preprint arXiv:2110.02402, 2021
72021
System identification of adapting neurons
E Hunsberger
Waterloo, ON: Centre for Theoretical Neuroscience. doi 10, 2016
32016
Feature-based resource allocation for real-time stereo disparity estimation
E Hunsberger, VR Osorio, J Orchard, BP Tripp
IEEE Access 5, 11645-11657, 2017
22017
Heterogeneity increases information transmission of neuronal populations
EG Hunsberger, M Scott, C Eliasmith
neuron 20 (30), 40, 0
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