| 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 | 53 | 2023 |
| Efficient and accurate conversion of spiking neural network with burst spikes Y Li, Y Zeng arXiv preprint arXiv:2204.13271, 2022 | 46 | 2022 |
| 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 | 33 | 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 | 29 | 2023 |
| 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 | 28 | 2022 |
| 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 | 23 | 2022 |
| Spike calibration: Fast and accurate conversion of spiking neural network for object detection and segmentation Y Li, X He, Y Dong, Q Kong, Y Zeng arXiv preprint arXiv:2207.02702, 2022 | 23 | 2022 |
| 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 | 14 | 2022 |
| Solving the spike feature information vanishing problem in spiking deep Q network with potential based normalization Y Sun, Y Zeng, Y Li Frontiers in Neuroscience 16, 953368, 2022 | 12 | 2022 |
| Bullying10K: a large-scale neuromorphic dataset towards privacy-preserving bullying recognition Y Dong, Y Li, D Zhao, G Shen, Y Zeng Advances in Neural Information Processing Systems 36, 2024 | 8 | 2024 |
| An unsupervised spiking neural network inspired by biologically plausible learning rules and connections Y Dong, D Zhao, Y Li, Y Zeng arXiv preprint arXiv:2207.02727 10, 2022 | 8 | 2022 |
| MSAT: biologically inspired multistage adaptive threshold for conversion of spiking neural networks X He, Y Li, D Zhao, Q Kong, Y Zeng Neural Computing and Applications 36 (15), 8531-8547, 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 |
| Matrix-transformation based low-rank adaptation (mtlora): A brain-inspired method for parameter-efficient fine-tuning Y Liang, Y Wang, Y Zeng arXiv preprint arXiv:2403.07440, 2024 | 1 | 2024 |
| Efficient training spiking neural networks with parallel spiking unit Y Li, Y Sun, X He, Y Dong, D Zhao, Y Zeng arXiv preprint arXiv:2402.00449, 2024 | 1 | 2024 |
| Astrocyte-Enabled Advancements in Spiking Neural Networks for Large Language Modeling G Shen, D Zhao, Y Dong, Y Li, J Li, Y Zeng arXiv preprint arXiv:2312.07625, 2023 | 1 | 2023 |
| Metaplasticity: Unifying Learning and Homeostatic Plasticity in Spiking Neural Networks G Shen, D Zhao, Y Dong, Y Li, F Zhao, Y Zeng arXiv preprint arXiv:2308.12063, 2023 | 1 | 2023 |
| Directly training temporal Spiking Neural Network with sparse surrogate gradient Y Li, F Zhao, D Zhao, Y Zeng Neural Networks 179, 106499, 2024 | | 2024 |
| Spiking Neural Networks with Consistent Mapping Relations Allow High-Accuracy Inference Y Li, X He, Q Kong, Y Zeng Information Sciences, 120822, 2024 | | 2024 |
Yi ZengInstitute of Automation, Chinese Academy of Sciences在 ia.ac.cn 的电子邮件经过验证
