Zonglei Zhen

Telephone:

Email: zhenzonglei@bnu.edu.cn

Research Interests: I use functional magnetic resonance imaging (fMRI), structural and quantitative MRI, transcriptome, behavioral, as well as computational modelling to study the neural basis of visual perception and decision making. My research focuses on understanding: (I). The cortical representations & computations that subserve visual recognition and decision making; (II). The role of gene expression, microanatomical and connectivity in shaping cortical functional organization; (III). How visual function and architecture change across development.

Personal resume

Education background

[1]    2007: Ph.D. in Computer Applied Technology, Institute of Automation, Chinese Academy of Sciences, Beijing. Dissertation: Multivariate Statistical Analysis of Functional MRI Data. Supervisor: Prof. Jie Tian

[2]    2004: M.S. in Mechatronic Engineering, Tianjin University, Tianjin. Dissertation: A Centralized-control Robotics Soccer Strategy System. Supervisor: Prof. Chen Zhao

[3]    2001: B.S. with honors in Mechatronic Engineering, Tianjin University, Tianjin.


Work Experience

[1]    2015 - Present: Associate Professor, Beijing Normal University, Beijing

[2]    2016 - 2017: Visiting Scholar, Department of Psychology, Stanford University

[3]    2007 - 2015: Assistant Professor, Beijing Normal University, Beijing

Scientific research

List of project

[1] Principle Investigator, National Key Basic Research Foundation of China, Brain encoding and decoding, The anatomical basis for the functional organization of the ventral temporal cortex, 01/01/2020-12/31/2021.

[2]    Principle Investigator, National Natural Science Foundation of China, The anatomical basis for the functional organization of the ventral temporal cortex, 01/01/2018.01-12/31/2021.

[3]    Principle Investigator, National Natural Science Foundation of China, The brain functional network for object recognition, 01/01/2015-12/31/2016.


List of publications

[1]    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.

[2]    Chen X, Zhou M, Gong Z, Xu W, Liu X, Huang T, Zhen Z*, Liu J, 2020. DNNBrain: A unifying toolbox for mapping deep neural networks and brains. Frontiers in Computational Neuroscience, 14:580632. 

[3]    Liu X, Zhen Z*, and Liu J*, 2020. Hierarchical sparse coding of objects in deep convolutional neural networks. Frontiers in Computational Neuroscience, 14:578158.

[4]    Zhou L, Zhen Z*, Liu J, Zhou K*, 2020. Brain structure and functional connectivity associated with individual differences in the attentional blink. Cerebral Cortex, 30(12):6224-6237. 

[5]    Zhu Z, Zhen Z, Wu X*, Li S*, 2020. Estimating functional connectivity by integration of inherent brain function activity pattern priors. IEEE/ACM Transactions on Computational Biology and Bioinformatics, doi: 10.1109/TCBB.2020.2974952.

[6]    Wu C, Zhen Z*, Huang L, Huang T, Liu J*. 2020, COMT-polymorphisms modulated functional profile of the fusiform face area contributes to face-specific recognition ability. Scientific Reports, 10(1):2134.

[7]    Tian X, Wang R, Zhao Y, Zhen Z, Song Y*, Liu J*, 2020. Multi-item discriminability pattern to faces in developmental prosopagnosia reveals distinct mechanisms of face processing. Cerebral Cortex, 30(5):2986-2996.

[8]    Liu X, Zhen Z*, Yang A, Bai H, Liu J*, 2019. A manually denoised audio-visual movie watching fMRI data in studyforrest dataset. Scientific Data, 6:295

[9]    Natu VS, Gomez J, Barnett M, Jeska B, Kirilina E, Jaeger C, Zhen Z, Cox S, Weiner KS, Weiskopf N, Grill-Spector K*, 2019. Apparent thinning of human visual cortex during childhood is associated with myelination. Proceedings of the National Academy of Sciences of the United States of America, 116(41): 20750–20759.

[10]  Gomez J, Zhen Z*, Weiner KS, 2019. Human visual cortex is organized along two genetically opposed hierarchical gradients with unique developmental and evolutionary origins. PLoS Biology, 17(7): e3000362.

[11]  Grotheer M, Zhen Z, Lerma-Usabiaga G, Grill-Spector K*, 2019. Separate lanes for math and reading in the white matter highways of the human brain. Nature Communication, 10(1):3675.

[12]  Huang T, Chen X, Jiang J, Zhen Z*, Liu J*, 2019. A probabilistic atlas of the human motion complex built from large-scale functional localizer data. Human Brain Mapping, 40(12):3475-3487.


† Equal contribution, * Corresponding author

Teaching experience

[1]    2009-present, Computational neuroscience, graduate course, Beijing Normal University.

[2]    2009-present, Neuroimaging big Data, graduate course, Beijing Normal University.

[3]    2018-present, Cognitive neuroscience, undergraduate course, Beijing Normal University.

[4]    2018-present, MATLAB programming, undergraduate course, Beijing Normal University.

[5]    2021-present, Neural encoding and brain-computer interface, undergraduate course, Beijing Normal University.

Social service

Reviewer for eLife, Cerebral Cortex, NeuroImage, Neuropsychologia, Human Brain Mapping, Brain Structure and Function, PLoS ONE, and Frontiers in Neuroscience.

Others