Zonglei Zhen
Affiliations: | Beijing Normal University, Beijing, Beijing Shi, China |
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"Zonglei Zhen"Mean distance: 16.21 (cluster 23) | S | N | B | C | P |
Children
Sign in to add traineeXiangzhen Kong | grad student | ||
Miao Xu | grad student | 2008- | Beijing Normal University |
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Publications
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Chen X, Liu X, Parker BJ, et al. (2022) Functionally and structurally distinct fusiform face area(s) in over 1000 participants. Neuroimage. 119765 |
Wang X, Zhen Z, Xu S, et al. (2021) Behavioral and neural correlates of social network size: the unique and common contributions of face recognition and extraversion. Journal of Personality |
Chen C, Zhang Y, Zhen Z, et al. (2021) Quantifying the variability of neural activation in working memory: A functional probabilistic atlas. Neuroimage. 239: 118301 |
Xu S, Zhang Y, Zhen Z, et al. (2021) The Face Module Emerged in a Deep Convolutional Neural Network Selectively Deprived of Face Experience. Frontiers in Computational Neuroscience. 15: 626259 |
Huang T, Zhen Z, Liu J. (2021) Semantic Relatedness Emerges in Deep Convolutional Neural Networks Designed for Object Recognition. Frontiers in Computational Neuroscience. 15: 625804 |
Liu X, Zhen Z, Liu J. (2020) Hierarchical Sparse Coding of Objects in Deep Convolutional Neural Networks. Frontiers in Computational Neuroscience. 14: 578158 |
Chen X, Zhou M, Gong Z, et al. (2020) DNNBrain: A Unifying Toolbox for Mapping Deep Neural Networks and Brains. Frontiers in Computational Neuroscience. 14: 580632 |
Zhou L, Zhen Z, Liu J, et al. (2020) Brain Structure and Functional Connectivity Associated with Individual Differences in the Attentional Blink. Cerebral Cortex (New York, N.Y. : 1991) |
Wu C, Zhen Z, Huang L, et al. (2020) COMT-Polymorphisms Modulated Functional Profile of the Fusiform Face Area Contributes to Face-Specific Recognition Ability. Scientific Reports. 10: 2134 |
Xu W, Li Q, Liu X, et al. (2020) Comparison of feature selection methods based on discrimination and reliability for fMRI decoding analysis. Journal of Neuroscience Methods. 108567 |