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Brady Taylor
Brady Taylor
PhD Candidate, Duke University
Verified email at duke.edu
Title
Cited by
Cited by
Year
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
702022
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
122021
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
62022
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
22023
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
22021
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
12024
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
12022
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
12020
A Hardware and Software Co-design Framework for Energy Efficient Neuromorphic Systems
B Taylor, H Li
Duke Univ., Durham, NC (United States), 2023
2023
The Controller Design and Integration of Memristor-Based Neuromorphic System
H Li, B Taylor
2021
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
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