| LISNN: Improving spiking neural networks with lateral interactions for robust object recognition. X Cheng, Y Hao, J Xu, B Xu IJCAI, 1519-1525, 2020 | 124 | 2020 |
| 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 | 49 | 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 | 46 | 2021 |
| 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 | 16 | 2021 |
| 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 |
| 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 | 11 | 2023 |
| 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 | 10 | 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 | 8 | 2023 |
| Artificial Neural Network-assisted Amplitude Thresholding Improves Spike Detection X Cheng, X Han, Y Song, T Zhang, B Xu Proceedings of the 2022 11th International Conference on Computing and …, 2022 | 1 | 2022 |
