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2020 – today
- 2021
[i5]Kinjal Patel, Eric Hunsberger, Sean Batir, Chris Eliasmith:
A Spiking Neural Network for Image Segmentation. CoRR abs/2106.08921 (2021)- [i4]Narsimha Chilkuri, Eric Hunsberger, Aaron Voelker, Gurshaant Malik, Chris Eliasmith:
Language Modeling using LMUs: 10x Better Data Efficiency or Improved Scaling Compared to Transformers. CoRR abs/2110.02402 (2021)
2010 – 2019
- 2018
- [i3]Peter Blouw, Xuan Choo, Eric Hunsberger, Chris Eliasmith:
Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware. CoRR abs/1812.01739 (2018) - 2017
- [b1]Eric Hunsberger:
Spiking Deep Neural Networks: Engineered and Biological Approaches to Object Recognition. University of Waterloo, Ontario, Canada, 2017 - [j3]Eric Hunsberger, Victor Reyes Osorio, Jeff Orchard, Bryan P. Tripp
:
Feature-Based Resource Allocation for Real-Time Stereo Disparity Estimation. IEEE Access 5: 11645-11657 (2017) - 2016
- [i2]Eric Hunsberger, Chris Eliasmith:
Training Spiking Deep Networks for Neuromorphic Hardware. CoRR abs/1611.05141 (2016) - 2015
- [i1]Eric Hunsberger, Chris Eliasmith:
Spiking Deep Networks with LIF Neurons. CoRR abs/1510.08829 (2015) - 2014
- [j2]Eric Hunsberger, Matthew Scott, Chris Eliasmith:
The Competing Benefits of Noise and Heterogeneity in Neural Coding. Neural Comput. 26(8): 1600-1623 (2014) - 2013
- [j1]Trevor Bekolay, James Bergstra, Eric Hunsberger, Travis DeWolf, Terrence C. Stewart, Daniel Rasmussen, Feng-Xuan Choo, Aaron Voelker, Chris Eliasmith:
Nengo: a Python tool for building large-scale functional brain models. Frontiers Neuroinformatics 7: 48 (2013) - [c1]Eric Hunsberger, Peter Blouw, James Bergstra, Chris Eliasmith:
A Neural Model of Human Image Categorization. CogSci 2013
Coauthor Index
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