沈翔

博士后

Email: shenxiang@@gdiist.cn

个人简介：

2017年毕业于南京大学，2022年博士毕业于香港科技大学，2023年4月加入广东省智能科学与技术研究院脑机接口与人机交互研究组，从事高通量柔性电极脑机接口的神经编解码研究。

代表论著：

[1] X. Shen, X. Zhang, Y. Huang, S. Chen, and Y. Wang, "Task Learning Over Multi-Day Recording via Internally Rewarded Reinforcement Learning Based Brain Machine Interfaces," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 28, no. 12, pp. 3089-3099, 2020.

[2] X. Shen, X. Zhang, Y. Huang, S. Chen, Z. Yu and Y. Wang, "Intermediate Sensory Feedback Assisted Multi-Step Neural Decoding for Reinforcement Learning based Brain-Machine Interfaces," in IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022, doi: 10.1109/TNSRE.2022.3210700.

[3] X. Liu, X. Shen (co-first author), S. Chen, X. Zhang, Y. Huang, Y. Wang, and Y. Wang, "Hierarchical Dynamical Model for Multiple Cortical Neural Decoding," Neural Computation, vol. 33, no. 5, pp. 1372-1401, 2021.

[4] S. Chen, X. Zhang, X. Shen, Y. Huang, and Y. Wang, "Tracking Fast Neural Adaptation by Globally Adaptive Point Process Estimation for Brain-Machine Interface," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 29, pp. 1690-1700, 2021.

[5] X. Liu, S. Chen, X. Shen, X. Zhang, and Y. Wang, "A Nonlinear Maximum Correntropy Information Filter for High-Dimensional Neural Decoding," Entropy, vol. 23, no. 6, 2021. 

[6] Y. Huang, X. Zhang, X. Shen, S. Chen, J.C. Principe, and Y. Wang, 2022. Extracting synchronized neuronal activity from local field potentials based on a marked point process framework. Journal of Neural Engineering, 19(4), p.046043.

[7] S. Wu., C. Qian, X. Shen, X. Zhang, Y. Huang, S. Chen, and Y. Wang, 2022. Spike prediction on primary motor cortex from medial prefrontal cortex during task learning. Journal of Neural Engineering, 19(4), p.046025.