| A plasticity-centric approach to train the non-differential spiking neural networks T Zhang, Y Zeng, D Zhao, M Shi Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 70 | 2018 |
| GLSNN: A multi-layer spiking neural network based on global feedback alignment and local STDP plasticity D Zhao, Y Zeng, T Zhang, M Shi, F Zhao Frontiers in Computational Neuroscience 14, 576841, 2020 | 52 | 2020 |
| Brain-inspired Balanced Tuning for Spiking Neural Networks. T Zhang, Y Zeng, D Zhao, B Xu IJCAI 7, 1653-1659, 2018 | 41 | 2018 |
| Backpropagation with biologically plausible spatiotemporal adjustment for training deep spiking neural networks G Shen, D Zhao, Y Zeng Patterns 3 (6), 2022 | 40 | 2022 |
| Braincog: A spiking neural network based, brain-inspired cognitive intelligence engine for brain-inspired ai and brain simulation Y Zeng, D Zhao, F Zhao, G Shen, Y Dong, E Lu, Q Zhang, Y Sun, Q Liang, ... Patterns 4 (8), 2023 | 35 | 2023 |
| A brain-inspired model of theory of mind Y Zeng, Y Zhao, T Zhang, D Zhao, F Zhao, E Lu Frontiers in Neurorobotics 14, 60, 2020 | 31 | 2020 |
| Backeisnn: A deep spiking neural network with adaptive self-feedback and balanced excitatory–inhibitory neurons D Zhao, Y Zeng, Y Li Neural Networks 154, 68-77, 2022 | 25 | 2022 |
| Spiking capsnet: A spiking neural network with a biologically plausible routing rule between capsules D Zhao, Y Li, Y Zeng, J Wang, Q Zhang Information Sciences 610, 1-13, 2022 | 23 | 2022 |
| An unsupervised stdp-based spiking neural network inspired by biologically plausible learning rules and connections Y Dong, D Zhao, Y Li, Y Zeng Neural Networks 165, 799-808, 2023 | 22* | 2023 |
| Hmsnn: hippocampus inspired memory spiking neural network T Zhang, Y Zeng, D Zhao, L Wang, Y Zhao, B Xu 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016 | 22 | 2016 |
| EventMix: An efficient data augmentation strategy for event-based learning G Shen, D Zhao, Y Zeng Information Sciences 644, 119170, 2023 | 17 | 2023 |
| BSNN: Towards faster and better conversion of artificial neural networks to spiking neural networks with bistable neurons Y Li, D Zhao, Y Zeng Frontiers in neuroscience 16, 991851, 2022 | 16 | 2022 |
| Firefly: a high-throughput hardware accelerator for spiking neural networks with efficient DSP and memory optimization J Li, G Shen, D Zhao, Q Zhang, Y Zeng IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2023 | 9* | 2023 |
| Brain-inspired neural circuit evolution for spiking neural networks G Shen, D Zhao, Y Dong, Y Zeng Proceedings of the National Academy of Sciences 120 (39), e2218173120, 2023 | 8 | 2023 |
| N-Omniglot, a large-scale neuromorphic dataset for spatio-temporal sparse few-shot learning Y Li, Y Dong, D Zhao, Y Zeng Scientific Data 9 (1), 746, 2022 | 8 | 2022 |
| Dynamic fusion of convolutional features based on spatial and temporal attention for visual tracking D Zhao, Y Zeng 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 8 | 2019 |
| Exploiting high performance spiking neural networks with efficient spiking patterns G Shen, D Zhao, Y Zeng arXiv preprint arXiv:2301.12356, 2023 | 5 | 2023 |
| Temporal knowledge sharing enable spiking neural network learning from past and future Y Dong, D Zhao, Y Zeng IEEE Transactions on Artificial Intelligence, 2024 | 4 | 2024 |
| Improving stability and performance of spiking neural networks through enhancing temporal consistency D Zhao, G Shen, Y Dong, Y Li, Y Zeng arXiv preprint arXiv:2305.14174, 2023 | 4 | 2023 |
| Dive into the power of neuronal heterogeneity G Shen, D Zhao, Y Dong, Y Li, Y Zeng arXiv preprint arXiv:2305.11484, 2023 | 3 | 2023 |
