| RWKV: Reinventing RNNs for the transformer era B Peng, E Alcaide, Q Anthony, A Albalak, S Arcadinho, S Biderman, ... 2023 EMNLP, 2023 | 538* | 2023 |
| 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 | 46 | 2021 |
| Eagle and Fnch: RWKV with Matrix-valued States and Dynamic Recurrence B Peng, D Goldstein, Q Anthony, A Albalak, E Alcaide, S Biderman, ... arXiv preprint arXiv:2404.05892, 2024 | 39 | 2024 |
| Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computing JE Pedersen, S Abreu, M Jobst, G Lenz, V Fra, FC Bauer, DR Muir, ... Nature Communications 15 (1), 8122, 2024 | 25 | 2024 |
| Automatically detecting bregma and lambda points in rodent skull anatomy images P Zhou, Z Liu, H Wu, Y Wang, Y Lei, S Abbaszadeh PloS one 15 (12), e0244378, 2020 | 22 | 2020 |
| Gradient-based neuromorphic learning on dynamical RRAM arrays P Zhou, DU Choi, WD Lu, SM Kang, JK Eshraghian IEEE Journal on Emerging and Selected Topics in Circuits and Systems 12 (4 …, 2022 | 19 | 2022 |
| Scalable MatMul-free Language Modeling RJ Zhu, Y Zhang, E Sifferman, T Sheaves, Y Wang, D Richmond, P Zhou, ... arXiv preprint arXiv:2406.02528, 2024 | 16 | 2024 |
| A fully memristive spiking neural network with unsupervised learning P Zhou, DU Choi, JK Eshraghian, SM Kang 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 634-638, 2022 | 9 | 2022 |
| Towards real-time machine learning for anomaly detection P Zhou, S Abbaszadeh 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2020 | 7 | 2020 |
| SPICEprop: Backpropagating errors through memristive spiking neural networks P Zhou, JK Eshraghian, DU Choi, SM Kang arXiv preprint arXiv:2203.01426, 2022 | 4 | 2022 |
| Gated Slot Attention for Efficient Linear-Time Sequence Modeling Y Zhang, S Yang, R Zhu, Y Zhang, L Cui, Y Wang, B Wang, F Shi, B Wang, ... NeurIPS 2024, 2024 | 2 | 2024 |
| Divisive normalization method, device, audio feature extractor and a chip H Zhang, S Haghighatshoar, DR MUIR, H Liu, P Zhou, Q Ning US Patent App. 18/020,282, 2023 | 1 | 2023 |
| Backpropagating Errors Through Memristive Spiking Neural Networks P Zhou, DU Choi, SM Kang, JK Eshraghian 2023 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2023 | 1 | 2023 |
| Deployment Pipeline from Rockpool to Xylo for Edge Computing P Zhou, DR Muir arXiv preprint arXiv:2412.11047, 2024 | | 2024 |
| Enhancing Robustness of Spiking Neural Networks Through Retina-Like Coding and Memory-Based Neurons J Zhang, K Wang, M Yao, H Xu, P Zhou, B Xu, G Li Authorea Preprints, 2024 | | 2024 |
| Biomimetic Spiking Neural Network Based on Monolayer 2D Synapse with Short-Term Plasticity for Auditory Brainstem Processing J Kim, P Zhou, U Wi, B Joo, D Choi, ML Seol, S Pulavarthi, L Sun, H Yang, ... IEEE Transactions on Cognitive and Developmental Systems, 2024 | | 2024 |
| Divisive normalization method, device, audio feature extractor and a chip Huaqiu Zhang, Saeid HAGHIGHATSHOAR, Dylan RICHARD MUIR, Hao Liu, Peng Zhou ... US Patent US20230300529A1, 2022 | | 2022 |
| Spike event decision-making device, method, chip and electronic device Peng Zhou, Yannan Xing, Ning Qiao, Yudi Ren, Zheng Ke, Yalun Hu, Bo Li ... US Patent US20240086690A1, 2022 | | 2022 |
| Memristive Spiking Neural Network for Neuromorphic Computing P Zhou University of California, Santa Cruz, 2022 | | 2022 |
Jason K. EshraghianUniversity of California, Santa Cruz, Assistant ProfessorEmail verificata su ucsc.edu