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清华大学脑与智能实验室导师教师师资介绍简介-张 丹

本站小编 Free考研考试/2020-04-16

张 丹 博士 清华大学心理学系 副教授 2016 - 现在 清华大学心理学系 副教授
2013 - 2016 清华大学心理学系 讲师
2011 - 2013 清华大学医学院 博士后
2005 - 2011 清华大学生物医学工程系 工学博士
2001 - 2005 清华大学自动化系 工学学士
研究兴趣和领域  运用脑电、近红外等神经生理信号开展心理状态与特质的评测方法与理论研究,近年来主要在情绪识别脑机接口、自然交互生理计算、教育神经科学等心理学与信息科学的交叉学科新兴方法上开展工作。
开设的课程《心理统计学》、《高级心理统计》、《脑成像数据分析》
代表性论文1. Chen, J., Li, Z., Hong, B., Maye, A., Engel, A. K., & Zhang, D.# (2019). A Single-Stimulus, Multitarget BCI Based on Retinotopic Mapping of Motion-Onset VEPs. IEEE Transactions on Biomedical Engineering, 66(2), 464–470.
2. Ding, Y., Hu, X., Li, J., Ye, J., Wang, F., & Zhang, D.# (2018a). What Makes a Champion: The Behavioral and Neural Correlates of Expertise in Multiplayer Online Battle Arena Games. International Journal of Human-Computer Interaction, 34(8), 682–694.
3. Ding, Y., Hu, X., Xia, Z., Liu, Y.-J., & Zhang, D.# (2018b). Inter-brain EEG Feature Extraction and Analysis for Continuous Implicit Emotion Tagging during Video Watching. IEEE Transactions on Affective Computing, online publication.
4. Zhang, Y., Qin, F., Liu, B., Qi, X., Zhao, Y., & Zhang, D.# (2018). Wearable Neurophysiological Recordings in Middle-School Classroom Correlate With Students' Academic Performance. Frontiers in Human Neuroscience, 12, 1–8.
5. Zhang, D. (2018). Computational EEG Analysis for Hyperscanning and Social Neuroscience. In Im C. (Eds) Computational EEG Analysis (Vol. 44, pp. 1–14). Singapore: Springer Singapore. http://doi.org/10.1007/978-981-13-0908-3_10
6. Hu, X., Yu, J., Song, M., Yu, C., Wang, F., Sun, P., Wang, D. & Zhang, D.# (2017). EEG Correlates of Ten Positive Emotions. Frontiers in Human Neuroscience, 11(796), 2765.
7. Zhang, D., Hong, B., Gao, S., & R?der, B.# (2017). Exploring the temporal dynamics of sustained and transient spatial attention using steady-state visual evoked potentials. Experimental Brain Research, 235(5), 1575–1591.
8. Wang, F., Li, G., Chen, J., Duan, Y., & Zhang, D.# (2016). Novel semi-dry electrodes for brain-computer interface applications. Journal of Neural Engineering, 13(4), 046021.
9. Zhang, D., Song, H., Xu, R., Zhou, W., Ling, Z., & Hong, B.# (2013). Toward a minimally invasive brain-computer interface using a single subdural channel: a visual speller study. NeuroImage, 71, 30–41.
10. Zhang, D., Hong, B., Gao, X., Gao, S., & R?der, B.# (2011). Exploring steady-state visual evoked potentials as an index for intermodal and crossmodal spatial attention. Psychophysiology, 48(5), 665–675.
11. Zhang, D., Maye, A., Gao, X., Hong, B., Engel, A. K., & Gao, S.# (2010). An independent brain–computer interface using covert non-spatial visual selective attention. Journal of Neural Engineering, 7(1), 016010.
12. Zhang, D., Song, H., Xu, H., Wu, W., Gao, S., & Hong, B.# (2012). An N200 speller integrating the spatial profile for the detection of the non-control state. Journal of Neural Engineering, 9(2), 026016.
13. Zhang, D., Wang, Y., Gao, X., Hong, B., & Gao, S. (2007). An algorithm for idle-state detection in motor-imagery-based brain-computer interface. Computational Intelligence and Neuroscience, 39714.
14. 冯雪, 张丹# (2017). 探索日常生活中的心理与行为规律:运用移动传感技术的心理学研究[J]. 科技导报,35(2): 45-49
15. 张丹#, 李佳蔚 (2017). 探索思维的力量:脑机接口研究现状与展望[J]. 科技导报, 35(9): 62-67
荣誉和奖励及参加学术团体的情况2019-至今 IEEE Transactions on Affective Computing编委(Associate Editor)
2015-至今 Frontiers in Psychology评审编委(Review Editor)
2015-至今 Frontiers in Neuroscience评审编委(Review Editor)
联系方式地址:北京市海淀区清华大学明斋334(100084)
电话:+86
邮箱:dzhang (at) tsinghua.edu.cn
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