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刘嘉
Psychology and Cognitive Sciences
清华大学
北京
Language: 英语, 中文
认知
神经科学
人工智能
视觉感知
大脑
学习
记忆
神经网络
认知科学
智能
Areas of Focus
- 人工智能的认知神经基础
- 视觉智能
Work Experience
- 2020–至今 - 清华大学 - 基础科学讲席教授
- 2005–2020 - 北京师范大学 - 教授（二级）
- 2009–2010 - 麻省理工学院 - 富布莱特访问学者
- 2003–2005 - 中国科学院 - 副教授/教授
- 2002–2003 - 麻省理工学院 - 博士后
Academic Background & Achievements
- 1997–2002 哲学博士，方向：认知神经科学；麻省理工学院
- 1995–1997 理学硕士，方向：认知心理学；北京大学
- 1990–1995 理学学士，方向：普通心理学；北京大学
- 1992–1994 辅修，方向：电子学与信息系统；北京大学
Publications
- From Sensory to Perceptual Manifolds: The Twist of Neural Geometry, H Ma, L Jiang, T Liu, & J Liu, 2023
- Experience replay facilitates the formation of the hexagonal pattern of grid cells, B Zhang, L Ma, & J Liu, 2023
- The Cognitive Critical Brain: Modulation of Criticality in Task-Engaged Regions, X Liu, X Fei, & J Liu, 2023
- Real-world size of objects serves as an axis of object space, T Huang, Y Song, & J Liu, 2022
- Spatial periodicity of hippocampal place cells in navigation, B Zhang & J Liu, 2022
- Principles governing the topological organization of object selectivities in ventral temporal cortex, Y Zhang, K Zhou, P Bao, & J Liu, 2021
- Body size as a metric for the affordable world, X Feng, S Xu, Y Li, & J Liu, 2023
- The development of spatial cognition and its malleability assessed in mass population via a mobile game, S Xu, Y Song, & J Liu, 2023
- A stochastic world model on gravity for stability inference, T Huang & J Liu, 2023
- Alignment is not sufficient to prevent large language models from generating harmful information: A psychoanalytic perspective, Z Yin, W Ding, & J Liu, 2023
- Emotional intelligence of large language models, X Wang, X Li, Z Yin, Y Wu, & J Liu, 2023
- The face module emerged in a deep convolutional neural network selectively deprived of face experience, S Xu, Y Zhang, Z Zhen, & J Liu, 2021
- Multidimensional face representation in a deep convolutional neural network reveals the mechanism underlying AI racism, J Tian, H Xie, S Hu, & J Liu, 2021
- Semantic relatedness emerges in deep convolutional neural networks designed for object recognition, T Huang, Z Zhen, & J Liu, 2021
- Implementation-independent representation for deep convolutional neural networks and humans in processing faces, Y Song, Y Qu, S Xu, & J Liu, 2020
- Hierarchical sparse coding of objects in deep convolutional neural networks, X Liu, Z Zhen, & J Liu, 2020
Awards
- 2016: 中国学位与研究生教育学会研究生教育成果奖（国家级）二等奖
- 2017: 北京市高等教育教学成果奖（省部级）二等奖
- 2014: 中华全国归国华侨联合会中国侨界贡献奖（创新人才）
- 2013: 教育部自然科学奖一等奖
