| Neurogenesis deep learning: Extending deep networks to accommodate new classes TJ Draelos, NE Miner, CC Lamb, JA Cox, CM Vineyard, KD Carlson, ... 2017 international joint conference on neural networks (IJCNN), 526-533, 2017 | 161 | 2017 |
| Training deep neural networks for binary communication with the whetstone method W Severa, CM Vineyard, R Dellana, SJ Verzi, JB Aimone Nature Machine Intelligence 1 (2), 86-94, 2019 | 127* | 2019 |
| Spiking network algorithms for scientific computing W Severa, O Parekh, KD Carlson, CD James, JB Aimone 2016 IEEE international conference on rebooting computing (ICRC), 1-8, 2016 | 39 | 2016 |
| Non-Neural Network Applications for Spiking Neuromorphic Hardware. JB Aimone, KE Hamilton, S Mniszewski, L Reeder, CD Schuman, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2018 | 37 | 2018 |
| A review of non-cognitive applications for neuromorphic computing JB Aimone, P Date, GA Fonseca-Guerra, KE Hamilton, K Henke, B Kay, ... Neuromorphic Computing and Engineering 2 (3), 032003, 2022 | 32 | 2022 |
| Neuromorphic scaling advantages for energy-efficient random walk computations JD Smith, AJ Hill, LE Reeder, BC Franke, RB Lehoucq, O Parekh, ... Nature Electronics 5 (2), 102-112, 2022 | 29 | 2022 |
| Spiking neural algorithms for markov process random walk W Severa, R Lehoucq, O Parekh, JB Aimone 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 29 | 2018 |
| Dynamic programming with spiking neural computing JB Aimone, O Parekh, CA Phillips, A Pinar, W Severa, H Xu Proceedings of the International Conference on Neuromorphic Systems, 1-9, 2019 | 27 | 2019 |
| Solving a steady-state PDE using spiking networks and neuromorphic hardware JD Smith, W Severa, AJ Hill, L Reeder, B Franke, RB Lehoucq, ... International Conference on Neuromorphic Systems 2020, 1-8, 2020 | 25 | 2020 |
| Composing neural algorithms with Fugu JB Aimone, W Severa, CM Vineyard Proceedings of the International Conference on Neuromorphic Systems, 1-8, 2019 | 25 | 2019 |
| Making bread: biomimetic strategies for artificial intelligence now and in the future JL Krichmar, W Severa, MS Khan, JL Olds Frontiers in neuroscience 13, 666, 2019 | 25 | 2019 |
| A combinatorial model for dentate gyrus sparse coding W Severa, O Parekh, CD James, JB Aimone Neural computation 29 (1), 94-117, 2016 | 20 | 2016 |
| Provable neuromorphic advantages for computing shortest paths JB Aimone, Y Ho, O Parekh, CA Phillips, A Pinar, W Severa, Y Wang Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and …, 2020 | 17 | 2020 |
| Provable advantages for graph algorithms in spiking neural networks JB Aimone, Y Ho, O Parekh, CA Phillips, A Pinar, W Severa, Y Wang Proceedings of the 33rd ACM Symposium on Parallelism in Algorithms and …, 2021 | 16 | 2021 |
| A spike-timing neuromorphic architecture AJ Hill, JW Donaldson, FH Rothganger, CM Vineyard, DR Follett, ... 2017 IEEE International Conference on Rebooting Computing (ICRC), 1-8, 2017 | 16 | 2017 |
| Abelian square-free partial words F Blanchet-Sadri, JI Kim, R Mercaş, W Severa, S Simmons International Conference on Language and Automata Theory and Applications …, 2010 | 16 | 2010 |
| Avoiding abelian squares in partial words F Blanchet-Sadri, JI Kim, R Mercaş, W Severa, S Simmons, D Xu Journal of Combinatorial Theory, Series A 119 (1), 257-270, 2012 | 13 | 2012 |
| Low-power deep learning inference using the spinnaker neuromorphic platform CM Vineyard, R Dellana, JB Aimone, F Rothganger, WM Severa Proceedings of the 7th Annual Neuro-inspired Computational Elements Workshop …, 2019 | 12 | 2019 |
| Benchmarking event-driven neuromorphic architectures CM Vineyard, S Green, WM Severa, ÇK Koç Proceedings of the International Conference on Neuromorphic Systems, 1-5, 2019 | 11 | 2019 |
| Exploring characteristics of neural network architecture computation for enabling SAR ATR R Melzer, WM Severa, M Plagge, CM Vineyard Automatic Target Recognition XXXI 11729, 42-61, 2021 | 10 | 2021 |
