| Research progress on memristor: From synapses to computing systems X Yang, B Taylor, A Wu, Y Chen, LO Chua IEEE Transactions on Circuits and Systems I: Regular Papers 69 (5), 1845-1857, 2022 | 87 | 2022 |
| Neuromorphic algorithm-hardware codesign for temporal pattern learning H Fang, B Taylor, Z Li, Z Mei, HH Li, Q Qiu 2021 58th ACM/IEEE Design Automation Conference (DAC), 361-366, 2021 | 13 | 2021 |
| Processing-in-memory technology for machine learning: From basic to asic B Taylor, Q Zheng, Z Li, S Li, Y Chen IEEE Transactions on Circuits and Systems II: Express Briefs 69 (6), 2598-2603, 2022 | 10 | 2022 |
| Biologically plausible learning on neuromorphic hardware architectures C Wolters, B Taylor, E Hanson, X Yang, U Schlichtmann, Y Chen 2023 IEEE 66th International Midwest Symposium on Circuits and Systems …, 2023 | 3 | 2023 |
| 1s1r-based stable learning through single-spike-encoded spike-timing-dependent plasticity B Taylor, A Shrestha, Q Qiu, H Li 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021 | 3 | 2021 |
| CMOS Implementation of Spiking Equilibrium Propagation for Real-Time Learning B Taylor, N Ramos, E Yeats, H Li 2022 IEEE 4th International Conference on Artificial Intelligence Circuits …, 2022 | 2 | 2022 |
| Neuromorphic Computing Systems with Emerging Nonvolatile Memories: A Circuits and Systems Perspective B Yan, Z Li, B Taylor, H Li, Y Chen 2020 International Symposium on VLSI Technology, Systems and Applications …, 2020 | 2 | 2020 |
| How to use stochastic devices in probabilistic calculations S Misra, C Allemang, C Arose, B Taylor, A Dubovskiy, A Sidi El Valli, ... Bulletin of the American Physical Society, 2024 | 1 | 2024 |
| MonoSparse-CAM: Harnessing Monotonicity and Sparsity for Enhanced Tree Model Processing on CAMs T Molom-Ochir, B Taylor, Y Chen arXiv preprint arXiv:2407.11071, 2024 | | 2024 |
| Weight Update Scheme for 1T1R Memristor Array Based Equilibrium Propagation B Taylor, X Yang, H Li 2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS …, 2024 | | 2024 |
| A Hardware and Software Co-design Framework for Energy Efficient Neuromorphic Systems H Li, B Taylor Duke Univ., Durham, NC (United States), 2023 | | 2023 |
| Highly efficient neuromorphic computing systems with emerging nonvolatile memories B Taylor, Z Li, B Yan, H Li, Y Chen Novel Patterning Technologies for Semiconductors, MEMS/NEMS and MOEMS 2020 …, 2020 | | 2020 |
Yiran ChenJohn Cocke Distinguished Professor of Electrical and Computer Engineering, Duke University在 duke.edu 的电子邮件经过验证
