| 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 | 163 | 2017 |
| A historical survey of algorithms and hardware architectures for neural-inspired and neuromorphic computing applications CD James, JB Aimone, NE Miner, CM Vineyard, FH Rothganger, ... Biologically Inspired Cognitive Architectures 19, 49-64, 2017 | 128 | 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 | 101 | 2019 |
| Computing with spikes: The advantage of fine-grained timing SJ Verzi, F Rothganger, OD Parekh, TT Quach, NE Miner, CM Vineyard, ... Neural computation 30 (10), 2660-2690, 2018 | 29 | 2018 |
| Composing neural algorithms with Fugu JB Aimone, W Severa, CM Vineyard Proceedings of the International Conference on Neuromorphic Systems, 1-8, 2019 | 27 | 2019 |
| Whetstone: A method for training deep artificial neural networks for binary communication W Severa, CM Vineyard, R Dellana, SJ Verzi, JB Aimone arXiv preprint arXiv:1810.11521, 2018 | 27 | 2018 |
| Crossing the cleft: communication challenges between neuroscience and artificial intelligence FS Chance, JB Aimone, SS Musuvathy, MR Smith, CM Vineyard, F Wang Frontiers in computational neuroscience 14, 39, 2020 | 24 | 2020 |
| Truly heterogeneous hpc: Co-design to achieve what science needs from hpc SG Cardwell, C Vineyard, W Severa, FS Chance, F Rothganger, F Wang, ... Driving Scientific and Engineering Discoveries Through the Convergence of …, 2020 | 19 | 2020 |
| Memory in silico: Building a neuromimetic episodic cognitive model SE Taylor, CM Vineyard, MJ Healy, TP Caudell, NJ Cohen, P Watson, ... 2009 WRI World Congress on Computer Science and Information Engineering 5 …, 2009 | 17 | 2009 |
| 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 |
| A novel digital neuromorphic architecture efficiently facilitating complex synaptic response functions applied to liquid state machines MR Smith, AJ Hill, KD Carlson, CM Vineyard, J Donaldson, DR Follett, ... 2017 International Joint Conference on Neural Networks (IJCNN), 2421-2428, 2017 | 16 | 2017 |
| Optimization-based computation with spiking neurons SJ Verzi, CM Vineyard, ED Vugrin, M Galiardi, CD James, JB Aimone 2017 International Joint Conference on Neural Networks (IJCNN), 2015-2022, 2017 | 15 | 2017 |
| Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking J Yik, SH Ahmed, Z Ahmed, B Anderson, AG Andreou, C Bartolozzi, ... arXiv preprint arXiv:2304.04640, 2023 | 11 | 2023 |
| 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 | 11 | 2019 |
| Co-design of free-space metasurface optical neuromorphic classifiers for high performance F Léonard, AS Backer, EJ Fuller, C Teeter, CM Vineyard ACS Photonics 8 (7), 2103-2111, 2021 | 10 | 2021 |
| Benchmarking event-driven neuromorphic architectures CM Vineyard, S Green, WM Severa, ÇK Koç Proceedings of the International Conference on Neuromorphic Systems, 1-5, 2019 | 10 | 2019 |
| RAPDARTS: resource-aware progressive differentiable architecture search S Green, CM Vineyard, R Helinski, CK Koç 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 9 | 2020 |
| A resurgence in neuromorphic architectures enabling remote sensing computation C Vineyard, W Severa, M Kagie, A Scholand, P Hays 2019 IEEE Space Computing Conference (SCC), 33-40, 2019 | 9 | 2019 |
| Temporal semantics: An adaptive resonance theory approach SE Taylor, ML Bernard, SJ Verzi, JD Morrow, CM Vineyard, MJ Healy, ... 2009 International Joint Conference on Neural Networks, 3111-3117, 2009 | 9 | 2009 |
| Low-complexity fixed-point convolutional neural networks for automatic target recognition H Dbouk, H Geng, CM Vineyard, NR Shanbhag ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 8 | 2020 |
