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Eric Hunsberger
Eric Hunsberger
Senior Research Scientist, Applied Brain Research
Verified email at uwaterloo.ca
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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
4232014
Spiking deep networks with LIF neurons
E Hunsberger, C Eliasmith
arXiv preprint arXiv:1510.08829, 2015
2282015
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
1462019
Training spiking deep networks for neuromorphic hardware
E Hunsberger, C Eliasmith
arXiv preprint arXiv:1611.05141, 2016
1392016
The competing benefits of noise and heterogeneity in neural coding
E Hunsberger, M Scott, C Eliasmith
Neural computation 26 (8), 1600-1623, 2014
482014
A spiking neural network for image segmentation
K Patel, E Hunsberger, S Batir, C Eliasmith
arXiv preprint arXiv:2106.08921, 2021
182021
Spiking deep neural networks: Engineered and biological approaches to object recognition
E Hunsberger
University of Waterloo, 2018
112018
Proceedings of the 7th Annual Neuro-inspired Computational Elements Workshop
P Blouw, X Choo, E Hunsberger, C Eliasmith
92019
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
72013
Methods and systems for implementing deep spiking neural networks
EG Hunsberger, CD Eliasmith
US Patent 11,126,913, 2021
42021
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
32021
System identification of adapting neurons
E Hunsberger
Waterloo, ON: Centre for Theoretical Neuroscience. doi 10, 2016
22016
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
Heterogeneity increases information transmission of neuronal populations
EG Hunsberger, M Scott, C Eliasmith
neuron 20 (30), 40, 0
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