| Task learning over multi-day recording via internally rewarded reinforcement learning based brain machine interfaces X Shen, X Zhang, Y Huang, S Chen, Y Wang IEEE Transactions on Neural Systems and Rehabilitation Engineering 28 (12 …, 2020 | 14 | 2020 |
| Tracking fast neural adaptation by globally adaptive point process estimation for brain-machine interface S Chen, X Zhang, X Shen, Y Huang, Y Wang IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 1690-1700, 2021 | 7 | 2021 |
| Decoding transition between kinematics stages for brain-machine interface S Chen, X Zhang, X Shen, Y Huang, Y Wang 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 7 | 2019 |
| Intermediate sensory feedback assisted multi-step neural decoding for reinforcement learning based brain-machine interfaces X Shen, X Zhang, Y Huang, S Chen, Z Yu, Y Wang IEEE transactions on neural systems and rehabilitation engineering 30, 2834-2844, 2022 | 6 | 2022 |
| Modelling mPFC activities in reinforcement learning framework for brain-machine interfaces X Shen, X Zhang, Y Huang, S Chen, Y Wang 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 243-246, 2019 | 6 | 2019 |
| A nonlinear maximum correntropy information filter for high-dimensional neural decoding X Liu, S Chen, X Shen, X Zhang, Y Wang Entropy 23 (6), 743, 2021 | 5 | 2021 |
| Audio-induced medial prefrontal cortical dynamics enhances coadaptive learning in brain–machine interfaces J Tan, X Zhang, S Wu, Z Song, S Chen, Y Huang, Y Wang Journal of Neural Engineering 20 (5), 056035, 2023 | 4 | 2023 |
| Spike prediction on primary motor cortex from medial prefrontal cortex during task learning S Wu, C Qian, X Shen, X Zhang, Y Huang, S Chen, Y Wang Journal of Neural Engineering 19 (4), 046025, 2022 | 4 | 2022 |
| Modeling Neural Connectivity in a Point-Process Analogue of Kalman Filter M Li, S Chen, X Liu, Z Song, Y Wang 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 4 | 2022 |
| Hierarchical dynamical model for multiple cortical neural decoding X Liu, X Shen, S Chen, X Zhang, Y Huang, Y Wang, Y Wang Neural Computation 33 (5), 1372-1401, 2021 | 4 | 2021 |
| Extracting synchronized neuronal activity from local field potentials based on a marked point process framework Y Huang, X Zhang, X Shen, S Chen, JC Principe, Y Wang Journal of Neural Engineering 19 (4), 046043, 2022 | 3 | 2022 |
| Tracking the time varying neural tuning via Adam on point process observations Z Zhang, S Chen, Z Yang, Y Wang 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 3 | 2018 |
| Considering Neural Connectivity in Point Process Decoder for Brain-Machine Interface* S Chen, X Liu, Y Wang 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 2 | 2021 |
| Decoding reward information from local field potential and spikes in medial prefrontal cortex of rats Y Huang, S Xiang, X Zhang, C Shuhang, W Yiwen 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020 | 2 | 2020 |
| Investigating co-activation between medial prefrontal and primary motor cortical spike trains during task learning S Wu, C Qian, X Shen, X Zhang, Y Huang, S Chen, Y Wang 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020 | 2 | 2020 |
| Reinforcement Learning based Decoding Using Internal Reward for Time Delayed Task in Brain Machine Interfaces X Shen, X Zhang, Y Huang, S Chen, Y Wang 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 2 | 2020 |
| Estimating Neural Modulation via Adaptive Point Process Method in Brain-machine Interface S Chen, X Zhang, X Shen, Y Huang, Y Wang 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 2 | 2020 |
| Generative Neural Spike Prediction from Upstream Neural Activity via Behavioral Reinforcement S Wu, X Zhang, Y Huang, S Chen, X Shen, J Principe, Y Wang bioRxiv, 2023.07. 25.550495, 2023 | 1 | 2023 |
| Quantitative Modeling on Nonstationary Neural Spikes: From Reinforcement Learning to Point Process X Zhang, S Chen, Y Wang Handbook of Neuroengineering, 2555-2614, 2023 | 1 | 2023 |
| Time-frequency relevancy analysis between local field potentials and lever pressing motion of rats Y Huang, S Xiang, W Yiwen, C Shuhang, X Zhang 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 1 | 2019 |
Yiwen WangHong Kong University of Science and Technology在 ust.hk 的电子邮件经过验证
