


- 姓名:刘婧
- 学历:博士
- 职称:
- 职务:
- 研究方向:认知心理学、学习、记忆、睡眠、认知老化、神经调控
- 联系电话:
- 电子邮箱:liujing_psy@m.scnu.edu.cn
- 通讯地址:华南师范大学心理学院425
- 个人主页:
刘婧 博士
华南师范大学心理学院 副教授 | 硕士生导师
研究专注于学习、记忆和睡眠的认知神经机制及其调控。研究方法包括但不限于:颅内脑电/头皮脑电/睡眠脑电/脑磁图/核磁、侵入式/非侵入式脑刺激、深度神经网络模型(DNN)、认知行为实验等。代表性研究成果发表在Science Advances、PNAS和PLOS Biology等国际顶尖学术期刊上。荣获美国心理科学协会(APS)2025年度学术新星奖、香港研究资助局博士后奖学金及北京市优秀博士论文奖。主持广东省自然科学基金项目,作为骨干成员参与国家科技创新2030-“脑科学与类脑研究”重大项目及国家自然科学基金重点项目。
核心研究方向
1. 记忆和睡眠的认知神经机制:通过颅内脑电(iEEG)、头皮脑电/磁(EEG/MEG),核磁(fMRI)与深度神经网络(DNN)技术,研究觉醒状态下记忆的动态信息加工及睡眠状态下记忆巩固的神经机制。
2. 脑机交互调控技术:利用闭环脑调控技术(如侵入式颅内电刺激、经颅电刺激、睡眠靶向记忆再激活TMR)增强学习与记忆能力。
3. 老龄认知增强研究:基于多模态影像数据,揭示记忆衰退的生物标记物,开发个性化的认知训练方案,提升老年人认知功能。
工作经历
Ø 2025-至今 华南师范大学心理学院 副教授
Ø 2022-2025 香港理工大学应用社会科学系 研究助理教授
Ø 2021-2022 香港大学心理学系 博士后
教育背景
Ø 2014-2021 北京师范大学认知神经科学与学习国家重点实验室 博士
Ø 2017-2018 德国波鸿鲁尔大学神经心理学系 联合培养博士
Ø 2010-2014 华南师范大学心理学院 本科
Ø 2013-2014 美国堪萨斯州立大学心理学系 联合培养
招生信息
诚邀具有心理学、神经科学、生物医学工程或计算机科学背景的本科生、硕士生、博士生和博后加入,共同探索人脑智能的本质及边界。
2025级硕士招生中,欢迎联系!
联系邮箱:liujing_psy@m.scnu.edu.cn
代表性研究成果 (#:共同一作)
Liu, J., Chen, D., Xia, T., Zeng, S., Xue, G., & Hu, X. Slow-wave sleep and REM sleep differentially contribute to memory representational transformation. bioRxiv. https://url.scnu.edu.cn/record/view/index.html?key=585021b76e26eb0ea5dde2b78a733539
Liu, J., Xia, T., Chen, D., Yao, Z., Zhu, M., Antony, J., Lee, T. M. C., & Hu, X. (2023). Item-specific neural representations during human sleep support long-term memory. PLOS Biology, 21(11), e3002399 (JCR 1区,中科院1区Top).
Liu, J., Zhang, H., Yu, T., Ren, L., Ni, D., Yang, Q., Lu, B., Zhang, L., Axmacher, N., & Xue, G. (2021). Transformative neural representations support long-term episodic memory. Science Advances, 7(41), eabg9715 (JCR 1区,中科院1区Top).
Liu, J.#, Zhang, H.#, Yu, T., Ni, D., Ren, L., Yang, Q., Lu, B., Wang, D., Heinen, R., Axmacher, N., & Xue, G. (2020). Stable maintenance of multiple representational formats in human visual short-term memory. Proceedings of the National Academy of Sciences, 117(51), 32329–32339 (JCR 1区,中科院1区Top).
其他研究成果
Chen, D., Yao, Z., Liu, J., Wu, H., & Hu, X. (2024). Social conformity updates the neural representation of facial attractiveness. Communications Biology, 7(1), 1–10.
Xia, T., Chen, D., Zeng, S., Yao, Z., Liu, J., Qin, S., Paller, K. A., Torres Platas, S. G., Antony, J. W., & Hu, X. (2024). Aversive memories can be weakened during human sleep via the reactivation of positive interfering memories. Proceedings of the National Academy of Sciences, 121(31), e2400678121.
Pacheco-Estefan, D., Fellner, M.-C., Kunz, L., Zhang, H., Reinacher, P., Roy, C., Brandt, A., Schulze-Bonhage, A., Yang, L., Wang, S., Liu, J., Xue, G., & Axmacher, N. (2024). Maintenance and transformation of representational formats during working memory prioritization. Nature Communications, 15(1), 8234.
Xia, T., Yao, Z., Guo, X., Liu, J., Chen, D., Liu, Q., Paller, K. A., & Hu, X. (2023). Updating memories of unwanted emotions during human sleep. Current Biology, 33(2), 309-320.e5.
Sheng, J., Zhang, L., Liu, C., Liu, J., Feng, J., Zhou, Y., ... & Xue, G. (2022). Higher-dimensional neural representations predict better episodic memory. Science Advances, 8(16), eabm3829.
Feng, J., Zhang, L., Chen, C., Sheng, J., Ye, Z., Feng, K., Liu, J., Cai, Y., Zhu, B., Yu, Z., Chen, C., Dong, Q., & Xue, G. (2022). A cognitive neurogenetic approach to uncovering the structure of executive functions. Nature Communications, 13(1), Article 1.
Sheng, J., Zhang, L., Feng, J., Liu, J., Li, A., Chen, W., Shen, Y., Wang, J., He, Y., & Xue, G. (2021). The coupling of BOLD signal variability and degree centrality underlies cognitive functions and psychiatric diseases. NeuroImage, 237, 118187.
Xiao, X.#, Zhou, Y.#, Liu, J., … & Xue, G. (2020). Individual-specific and shared representations during episodic memory encoding and retrieval. NeuroImage, 217, 116909.
Feng, J., Chen, C., Cai, Y., Ye, Z., Feng, K., Liu, J., … & Xue, G. (2020). Partitioning heritability analyses unveil the genetic architecture of human brain multidimensional functional connectivity patterns. Human Brain Mapping, 41(12), 3305–3317.
Wang, D., Huang, Z., Ren, L., Liu, J., … & Wang, Y. (2020). Amygdalar and hippocampal beta rhythm synchrony during human fear memory retrieval. Acta Neurochirurgica, 162(10), 2499–2507.
Feng, K., Zhao, X., Liu, J., … & Xue, G. (2019). Spaced Learning Enhances Episodic Memory by Increasing Neural Pattern Similarity Across Repetitions. Journal of Neuroscience, 39(27), 5351–5360.
Li, S., Cai, Y., Liu, J., … & Xue, G. (2017). Dissociated roles of the parietal and frontal cortices in the scope and control of attention during visual working memory. NeuroImage, 149, 210–219.
Cai, Y., Li, S., Liu, J., … & Xue, G. (2016). The Role of the Frontal and Parietal Cortex in Proactive and Reactive Inhibitory Control: A Transcranial Direct Current Stimulation Study. Journal of Cognitive Neuroscience, 28(1), 177–186.
Wang, Q., Chen, C., Cai, Y., Li, S., Zhao, X., Zheng, L., Zhang, H., Liu, J., … & Xue, G. (2016). Dissociated neural substrates underlying impulsive choice and impulsive action. NeuroImage, 134, 540–549.
Liu, J., & Xue, G. (2023). What Is the Contribution of iEEG as Compared to Other Methods to Cognitive Neuroscience? In N. Axmacher (Ed.), Intracranial EEG (pp. 103–124). Springer International Publishing (编著).
Ø 广东省自然科学基金-面上项目:不同睡眠阶段记忆巩固的认知神经机制研究(广东省基础与应用基础基金委员会,2024-2026,主持)
Ø 广东省区域联合基金-青年基金项目:老年人的睡眠结构影响关联记忆的认知神经机制(广东省基础与应用基础基金委员会,2023-2026,主持)。
Ø 国家科技创新2030-“脑科学与类脑研究”重大项目(2022-2027,骨干)。
Ø 国家自然科学基金重点项目:记忆重构和图式形成的神经与计算机制(2024-2028,参与)。
主要获奖(部分)
Ø 2025 美国心理科学协会学术新星奖(APS Rising Star)
Ø 2022 北京市优秀博士学位论文
Ø 2022 香港研资局(RGC)博士后基金(~400,000 HKD 每年)
Ø 2021 北京师范大学科研成果优秀奖特等奖
学术会议报告
Ø 刘婧(2024)中国神经科学学会认知神经生物学分会学术年会(中国·上海)
Ø 刘婧(2024)中国认知科学学会意识科学分会学术年会(中国·珠海)
Ø 刘婧(2024)中国生理学会脑节律专业委员会学术年会(中国·宁波)
Ø 刘婧(2023)情景记忆的神经基础,深圳大学总医院癫痫中心
Ø 刘婧(2023)Memory reactivation and transformation during wakefulness and sleep, Neurochat.
Ø Liu, J., & Hu, X. (2023). Sequentially reactivated memory representations during sleep support long-term associative memory. International Conference on Learning and Memory, US.
Ø Liu, J., & Hu, X. (2022). Pre-sleep testing weakens the targeted memory reactivation beneficial effect. Society for Neuroscience, US.
Ø Liu, J., Axmacher, N., Xue, G. (2021). Transformative neural representations across memory encoding, maintenance and retrieval. Society for Neuroscience, US.
Ø Liu, J., Xue, G. (2019). The neural pattern similarity between working memory maintenance and retrieval was associated with successful long-term memory. Society for Neuroscience, US.
Ø Liu, J., Zhang, H., Axmacher, N., Xue, G. (2018). Transformation of association- and item-specific neural representations across different memory stages. Society for Neuroscience, US.