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Shuhang Chen
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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
142020
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
72021
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
72019
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
62019
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
52022
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
52021
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
42021
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
32022
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
32022
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
32020
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
32018
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
22022
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
22020
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
22020
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
22020
Quantitative Modeling on Nonstationary Neural Spikes: From Reinforcement Learning to Point Process
X Zhang, S Chen, Y Wang
Handbook of Neuroengineering, 2555-2614, 2023
12023
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
12021
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
12019
Online Estimating Pairwise Neuronal Functional Connectivity in Brain-Machine Interface
S Chen, X Zhang, X Shen, Y Huang, Y Wang
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
2023
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
2023
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