Zonglei Zhen

Telephone:

Email: zhenzonglei@bnu.edu.cn

Research Interests: I use functional magnetic resonance imaging (fMRI), structural and quantitative MRI, transcriptome, behavioral test, as well as computational modelling to study the neural basis of visual perception and decision making, particularly focusing on: (I). The cortical representations & computations that subserve visual perception and decision making; (II). The role of gene expression, brain structure and connectivity in shaping brain functional organization; (III). How brain organization changes 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]     Co-Investigator, Key Program of National Natural Science Foundation of China, Brain-like decision neural networks, 01/01/2023-12/31/2028.

[2]     Co-Investigator, National Key Basic Research Foundation of China, New generation of brain-like intelligence algorithms, 01/01/2021-12/31/2025.

[3]     Principal Investigator, National Key Basic Research Foundation of China, Multiscale big data for brain encoding and decoding, 01/01/2020-12/31/2021.

[4]     Principal 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.



List of publications

[1]     Gong Z, Zhou M, Dai Y, Wen Y, Liu Y*, Zhen Z*. A large-scale fMRI dataset for the visual processing of naturalistic scenes. Scientific Data. 2023, 10(1):559.

[2]     Zhou M, Gong Z, Dai Y, Wen Y, Liu Y, Zhen Z*. A large-scale fMRI dataset for human action recognition. Scientific Data. 2023, 10(1):415.

[3]     Zhang Y, Ma S, Liu Y, Kong F*, Zhen Z*. Functional integration of anterior insula related to meaning in life and loneliness. Journal of Affective Disorders. 2023; 338:10-16.

[4]     Chen X, Liu X, Parker BJ, Zhen Z*, Weiner KS. Functionally and structurally distinct fusiform face area(s) in over 1000 participants. NeuroImage. 2022, 265:119765.

[5]     Ma S, Huang T, Qu Y, Chen X, Zhang Y, Zhen Z*. An fMRI dataset for whole-body somatotopic mapping in humans. Scientific Data. 2022, 9(1):515.

[6]     Liu X, d'Oleire Uquillas F, Viaene AN, Zhen Z*, Gomez J. A multifaceted gradient in human cerebellum of structural and functional development. Nature Neuroscience. 2022, 25(9):1129-1133.

[7]     Liu X, Dai Y, Xie H, Zhen Z*. A studyforrest extension, MEG recordings while watching the audio-visual movie "Forrest Gump". Scientific Data. 2022, 9(1):206.

[8]     Gomez J, Zhen Z*, Weiner KS. The relationship between transcription and eccentricity in human V1, Brain Structure and Function, 2021, 226(9):2807-2818.

[9]     Huang T, Zhen Z*, Liu J*. Semantic relatedness emerges in deep convolutional neural networks designed for object recognition. Frontiers in Computational Neuroscience. 2021, 15:625804.

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

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

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

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

[14]   Natu VS, Gomez J, Barnett M, Jeska B, Kirilina E, Jaeger C, Zhen Z, Cox S, Weiner KS, Weiskopf N, Grill-Spector K*. 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. 2019, 116(41): 20750–20759.

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

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

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


* 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

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

Others