| Training spiking neural networks using lessons from deep learning JK Eshraghian, M Ward, EO Neftci, X Wang, G Lenz, G Dwivedi, ... Proceedings of the IEEE, 2023 | 545 | 2023 |
| Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications M Rahimiazghadi, C Lammie, JK Eshraghian, M Payvand, E Donati, ... IEEE Transactions on Biomedical Circuits and Systems 14 (6), 1138 - 1159, 2020 | 191 | 2020 |
| Complementary Metal‐Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing M Rahimi Azghadi, YC Chen, JK Eshraghian, J Chen, CY Lin, ... Advanced Intelligent Systems, 1900189, 2020 | 138 | 2020 |
| SpikeGPT: Generative pre-trained language model with spiking neural networks RJ Zhu, Q Zhao, G Li, JK Eshraghian Transactions on Machine Learning Research, 2024 | 105 | 2024 |
| High-Density Memristor-CMOS Ternary Logic Family XY Wang, PF Zhou, JK Eshraghian, CY Lin, HHC Iu, TC Chang, SM Kang IEEE Transactions on Circuits and Systems I: Regular Papers 68 (1), 264-274, 2021 | 84 | 2021 |
| Human ownership of artificial creativity JK Eshraghian Nature Machine Intelligence 2 (3), 157-160, 2020 | 78 | 2020 |
| Memristor-based binarized spiking neural networks: Challenges and applications JK Eshraghian, X Wang, WD Lu IEEE Nanotechnology Magazine 16 (2), 14-23, 2022 | 66 | 2022 |
| Adaptive synaptic memory via lithium ion modulation in RRAM devices CY Lin, J Chen, PH Chen, TC Chang, Y Wu, JK Eshraghian, J Moon, ... Small 16 (42), 2003964, 2020 | 65 | 2020 |
| Neuromorphic Vision Hybrid RRAM-CMOS Architecture JK Eshraghian, K Cho, C Zheng, M Nam, HHC Iu, W Lei, K Eshraghian IEEE Transactions on Very Large Scale Integration (VLSI) Systems 26 (12 …, 2018 | 65 | 2018 |
| Analog Weights in ReRAM DNN Accelerators JK Eshraghian, SM Kang, S Baek, G Orchard, HHC Iu, W Lei 2019 IEEE International Conference on Artificial Intelligence Circuits and …, 2019 | 58 | 2019 |
| Brain-inspired learning in artificial neural networks: a review S Schmidgall, R Ziaei, J Achterberg, L Kirsch, S Hajiseyedrazi, ... APL Machine Learning 2 (2), 2024 | 49 | 2024 |
| How to build a memristive integrate-and-fire model for spiking neuronal signal generation SM Kang, D Choi, JK Eshraghian, P Zhou, J Kim, BS Kong, X Zhu, ... IEEE Transactions on Circuits and Systems I: Regular Papers 68 (12), 4837-4850, 2021 | 43 | 2021 |
| Spiking neural networks for nonlinear regression A Henkes, JK Eshraghian, H Wessels Royal Society Open Science 11 (5), 231606, 2024 | 37 | 2024 |
| Memristive stochastic computing for deep learning parameter optimization C Lammie, JK Eshraghian, WD Lu, MR Azghadi IEEE Transactions on Circuits and Systems II: Express Briefs 68 (5), 1650-1654, 2021 | 35 | 2021 |
| A novel universal interface for constructing memory elements for circuit applications C Zheng, D Yu, HHC Iu, T Fernando, T Sun, JK Eshraghian, H Guo IEEE Transactions on Circuits and Systems I: Regular Papers 66 (12), 4793-4806, 2019 | 35 | 2019 |
| NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems J Yik, KV Berghe, D Blanken, Y Bouhadjar, M Fabre, P Hueber, D Kleyko, ... arXiv preprint arXiv:2304.04640, 2023 | 32* | 2023 |
| A deep learning approach to cardiovascular disease classification using empirical mode decomposition for ECG feature extraction Y Li, J Luo, Q Dai, JK Eshraghian, BWK Ling, C Zheng, X Wang Biomedical Signal Processing and Control 79, 104188, 2023 | 32 | 2023 |
| Adaptive precision CNN accelerator using radix-X parallel connected memristor crossbars J Lee, JK Eshraghian, K Cho, K Eshraghian arXiv preprint arXiv:1906.09395, 2019 | 29 | 2019 |
| Spiking neural networks for frame-based and event-based single object localization S Barchid, J Mennesson, J Eshraghian, C Djéraba, M Bennamoun Neurocomputing 559, 126805, 2023 | 27 | 2023 |
| Formulation and implementation of nonlinear integral equations to model neural dynamics within the vertebrate retina JK Eshraghian, S Baek, JH Kim, N Iannella, K Cho, YS Goo, HHC Iu, ... International Journal of Neural Systems 28 (07), 1850004, 2018 | 26 | 2018 |
Wei D. LuJames R. Mellor Professor, EECS, Univ of Michigan, IEEE Fellow. co-founder MemryX Inc, Crossbar Inc.Verified email at umich.edu
