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许弢


电邮: taoxu@stu.edu.cn


研究方向:

类脑计算

智能控制

计算神经科学

信号处理

运动学习


学习经历:

2014-2019 博士, 生物医学工程, 香港城市大学


工作经历:

2021-2022 博士后,生物科学系,香港中文大学

2024-至今 汕头大学,生物医学工程系,汕头大学


研究兴趣:

计算神经科学,运动学习,工作记忆,脑机接口


简历:

许弢,于2024年加入汕头大学生物医学工程系,任讲师,2019年于香港城市大学取得生物医学工程博士学位,主要研究兴趣包括计算神经科学,小脑运动学习,脑机接口等。发表SCI论文数十篇


主持及参与课题:

广东省自然科学基金面上项目,2025A1515010808,相关手部运动对于记忆类型转化的研究,2025.01至2027.12,在研,主持。

Towards a cerebellar neuroprosthesis: A simulation and in vivo experimental study(ECS,主要参与人,2014.1-2017.11)

嗅周皮质神经元放电模式在tEBC追踪记忆形成中的作用机制探究(国自然面上,主要参与人,2017.01-2018.12)


发表论文:

[1] H. Wang, Z. Yuan, H. Zhang, F. Wan, Y. Li, and T. Xu, "Hybrid EEG-fNIRS decoding with dynamic graph convolutional-capsule networks for motor imagery/execution," Biomedical Signal Processing and Control, vol. 104, p. 107570, 2025/06/01/ 2025.(co-corresponding author)

[2] S. Huang, C. Chen. Y. Mo, Y. Zhao, Y Zhu, K. Dong and T. Xu, "Exploring the n-back task: insights, applications, and future directions," Frontiers in Human Neuroscience, 19:1721330. doi:10.3389/fnhum.2025.1721330 (corresponding author)

[3] Y. Li, S. Li, Z. Yuan, S. Zhao, F. Wan, T. Xu, H. Zhang, and H. Wang, "IVCAN: An improved visual curve attention network for fNIRS-Based motor imagery/execution classification," Biomedical Signal Processing and Control, vol. 104, p. 107679, 2025/06/01/ 2025.(co-corresponding author)

[4] Z. Ji, T. Xu, C. Chen, H. Yin, F. Wan, and H. Wang, "Subject-specific CNN model with parameter-based transfer learning for SSVEP detection," Biomedical Signal Processing and Control, vol. 103, p. 107404, 2025/05/01/ 2025.

[5] H. Wang, Z. Wang, Y. Sun, Z. Yuan, T. Xu, and J. Li, "A Cascade xDAWN EEGNet Structure for Unified Visual-evoked Related Potential Detection," IEEE Transactions on Neural Systems Rehabilitation Engineering, pp. 1-1, 2024.(co-corresponding author)

[6] T. Xu, et al. "Exploring the Mechanisms of Bidirectional Plasticity From Temporal Feature Stimuli in Cerebellar Motor Learning: A Ca2+-Mediated Simulation," in IEEE Transactions on Cognitive and Developmental Systems, vol. 17, no. 4, pp. 809-822, Aug. 2025, doi: 10.1109/TCDS.2024.3517694.

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