| 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 | 597 | 2014 |
| Spiking deep networks with LIF neurons E Hunsberger, C Eliasmith arXiv preprint arXiv:1510.08829, 2015 | 340 | 2015 |
| 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 | 230 | 2019 |
| Training spiking deep networks for neuromorphic hardware E Hunsberger, C Eliasmith arXiv preprint arXiv:1611.05141, 2016 | 188 | 2016 |
| A spiking neural network for image segmentation K Patel, E Hunsberger, S Batir, C Eliasmith arXiv preprint arXiv:2106.08921, 2021 | 56 | 2021 |
| The competing benefits of noise and heterogeneity in neural coding E Hunsberger, M Scott, C Eliasmith Neural computation 26 (8), 1600-1623, 2014 | 54 | 2014 |
| Spiking deep neural networks: Engineered and biological approaches to object recognition E Hunsberger University of Waterloo, 2018 | 17 | 2018 |
| Proceedings of the 7th Annual Neuro-Inspired Computational Elements Workshop P Blouw, X Choo, E Hunsberger, C Eliasmith | 11 | 2019 |
| 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 | 10 | 2021 |
| Methods and systems for implementing deep spiking neural networks EG Hunsberger, CD Eliasmith US Patent 11,126,913, 2021 | 10 | 2021 |
| 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 | 8 | 2013 |
| System identification of adapting neurons E Hunsberger Waterloo, ON: Centre for Theoretical Neuroscience. doi 10, 2016 | 3 | 2016 |
| Feature-based resource allocation for real-time stereo disparity estimation E Hunsberger, VR Osorio, J Orchard, BP Tripp IEEE Access 5, 11645-11657, 2017 | 2 | 2017 |
| METHODS AND SYSTEMS FOR IMPLICIT ATTENTION WITH SUB-QUADRATIC COMPLEXITY INARTIFICIAL NEURAL NETWORKS N Chilkuri, E Hunsberger, A Voelker, CD Eliasmith US Patent App. 18/693,730, 2024 | | 2024 |
