| Self-backpropagation of synaptic modifications elevates the efficiency of spiking and artificial neural networks T Zhang, X Cheng, S Jia, M Poo, Y Zeng, B Xu Science advances 7 (43), eabh0146, 2021 | 63 | 2021 |
| Tuning convolutional spiking neural network with biologically plausible reward propagation T Zhang, S Jia, X Cheng, B Xu IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7621-7631, 2021 | 50 | 2021 |
| Multi-sacle dynamic coding improved spiking actor network for reinforcement learning D Zhang, T Zhang, S Jia, B Xu Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 59-67, 2022 | 43 | 2022 |
| A brain-inspired algorithm that mitigates catastrophic forgetting of artificial and spiking neural networks with low computational cost T Zhang, X Cheng, S Jia, CT Li, M Poo, B Xu Science Advances 9 (34), eadi2947, 2023 | 25 | 2023 |
| Recent advances and new frontiers in spiking neural networks D Zhang, S Jia, Q Wang arXiv preprint arXiv:2204.07050, 2022 | 22 | 2022 |
| Neuronal-plasticity and reward-propagation improved recurrent spiking neural networks S Jia, T Zhang, X Cheng, H Liu, B Xu Frontiers in Neuroscience 15, 654786, 2021 | 17 | 2021 |
| Motif-topology and reward-learning improved spiking neural network for efficient multi-sensory integration S Jia, R Zuo, T Zhang, H Liu, B Xu ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 16 | 2022 |
| Finite meta-dynamic neurons in spiking neural networks for spatio-temporal learning X Cheng, T Zhang, S Jia, B Xu arXiv preprint arXiv:2010.03140, 2020 | 14 | 2020 |
| Population-coding and dynamic-neurons improved spiking actor network for reinforcement learning D Zhang, T Zhang, S Jia, X Cheng, B Xu arXiv preprint arXiv:2106.07854, 2021 | 13 | 2021 |
| Meta neurons improve spiking neural networks for efficient spatio-temporal learning X Cheng, T Zhang, S Jia, B Xu Neurocomputing 531, 217-225, 2023 | 11 | 2023 |
| B. Xu. A brain-inspired algorithm that mitigates catastrophic forgetting of artificial and spiking neural networks with low computational cost T Zhang, X Cheng, S Jia, CT Li, M Poo Science Advances 9, 34, 0 | 5 | |
| Tuning Synaptic Connections instead of Weights by Genetic Algorithm in Spiking Policy Network D Zhang, T Zhang, S Jia, Q Wang, B Xu Machine Intelligence Research 21 (5), 906-918, 2024 | 4 | 2024 |
| Explaining cocktail party effect and McGurk effect with a spiking neural network improved by Motif-topology S Jia, T Zhang, R Zuo, B Xu Frontiers in Neuroscience 17, 1132269, 2023 | 1 | 2023 |
| Recurrent neural networks with transient trajectory explain working memory encoding mechanisms C Liu, S Jia, H Liu, X Zhao, CT Li, B Xu, T Zhang Communications Biology 8 (1), 137, 2025 | | 2025 |
| Motif-topology improved Spiking Neural Network for the Cocktail Party Effect and McGurk Effect S Jia, T Zhang, R Zuo, B Xu arXiv preprint arXiv:2211.07641, 2022 | | 2022 |
| Motif-topology improved Spiking Neural Network for Explaining Cocktail Party Effect and McGurk Effect S Jia, T Zhang, R Zuo, B Xu | | |
