Associate Professor
Department of Psychology
Tsinghua University
E-mail: rainbowcnh@gmail.com
Dr. Nihong Chen studies vision, perceptual learning and cortical plasticity, using a range of techniques including functional magnetic resonance imaging (fMRI), transcranial magnetic stimulation (TMS), psychophysics, and computational modeling. Her work has been published in a number of influential journals, such as PNAS, Journal of Neuroscience, NeuroImage, and Human Brain Mapping. Dr. Chen received her BS in Psychology and BA in Art from Peking University in 2010. She received her PhD in Cognitive Psychology from Peking University in 2015. After that, she continues her research as a postdoc in the Department of Psychology at University of Southern California, where she was promoted as a research scientist. She is an affiliated PI at IDG/McGovern instutute for Brain Research at Tsinghua University.
Education background
2010 - 2015 PHD in Psychology, Peking University
2006 - 2010 BS in Psychology and BA in Art, Peking University
Experience
2019 - Associate Professor, Tsinghua University
2017 - 2019 Research scientist, University of Southern California
2015 - 2017 Postdoctoral research scholar, University of Southern California
Functional and Computational Vision Laboratory
Concurrent Academic
Cerebral Cortex/ NeuroImage/ PLOS ONE/ Scientific Report/ Journal of Vision/ eNeuro
Areas of Research Interests/ Research Projects
Cognitive neuroscience, Vision, Perceptual learning, fMRI, Psychophyscis
Academic Achievement
Cui Y., Lu X., Kwon M., Chen N.* (In Press) Learning improves peripheral vision via enhanced cortico-cortical communications. Neuroscience Bulletin. [SCI IF = 5.4, JCR Q1]
Lu X., Jiang R., Song M., Wu Y., Ge Y., Chen N.* (2024) Seeing in Crowds: Averaging first, then Max. Psychonomic Bulletin & Review. https://doi.org/10.3758/s13423-024-02468-6. [SCI IF = 4.7, JCR Q1]
Ai H., Lin W., Liu C. Chen N.*, Zhang P.* (2024) Mesoscale functional organization and connectivity of color, disparity, and naturalistic texture in human second visual area. eLife. 13:RP93171. [SCI IF = 8.3, JCR Q1]
Chen N.*, Ai, H., Lu X. (2023) Context-dependent attentional spotlight in pulvinar-V1 interaction. NeuroImage, 120341. [SCI IF = 7.0, JCR Q1]
Ai H.#, Cui Y.#, Chen N.* (2023) A “Bandwidth” in cortical representations of multiple faces. Cerebral Cortex, bhad262. [SCI IF = 4.6, JCR Q2]
Lu J., Luo L., Wang Q., Fang F.*, Chen N.* (2021) Cue-triggered activity replay in human early visual cortex. Science China-Life Sciences 64(1), 144-151. [SCI IF = 9.1, JCR Q1]
Chen N.*, Shin K., Millin R., Song Y., Kwon M., Tjan B. (2019) Cortical reorganization of peripheral vision induced by simulated central vision loss. Journal of Neuroscience 39(18), 3529-3536. [SCI IF = 6.2, JCR Q1]
Chen N.*, Bao P., Tjan B. (2018) Contextual-dependent attention modulation on crowded orientation signals in human visual cortex. Journal of Neuroscience 38(39), 8433-8440. [SCI IF = 6.2, JCR Q1]
Chen N.*, Lu J., Shao H., Weng X. and Fang F.* (2017) Neural mechanisms of motion perceptual learning in noise. Human Brain Mapping 38(12), 6029-6042. [SCI IF = 5.4, JCR Q1]
Chen N., Cai P., Zhou T., Thompson B. and Fang F.* (2016) Perceptual learning modifies the functional specializations of visual cortical areas. PNAS 113(20), 5724-5729. [SCI IF = 12.0, JCR Q1]
Chen N.#, Bi T.#, Zhou T., Li S., Liu Z., Fang F.* (2015) Sharpened cortical tuning and enhanced cortico-cortical communication contribute to the long-term neural mechanisms of visual motion perceptual learning. NeuroImage 115,17-29. [SCI IF = 7.0, JRC Q1]
其他论文
Cheng S., Ai H., Ge Y., Luo Y., Chen N.* (2023) Visual statistical learning of naturalistic textures. Journal of Experimental Psychology: Human Perception and Performance.
Song Y., Chen N.*, Fang F.* (2021) Effects of daily training amount on visual motion perceptual learning. Journal of Vision 21(4),6.
Chen N.*, Chen Z., Fang, F.* (2020). Functional specialization in human dorsal pathway for stereoscopic depth processing. Experimental Brain Research 238, 2581-2588.
Xi J., Zhang P., Jia W., Chen N., Yang J., Wang G., ... Huang C*. (2020) Multi-stage cortical plasticity induced by visual contrast learning. Frontiers in Neuroscience, 14,1338.
Ai H., Chen N.* (2020) The crowded window of object recognition revealed by cortical population codes. Science China Life Sciences 63(2), 317-318. [commentary]
Cai P.#, Chen N.#, Zhou T., Thompson B., Fang F.* (2014) Global versus local: double dissociation between MT+ and V3A in motion processing revealed using continuous theta burst transcranial magnetic stimulation. Experimental Brain Research 232(12), 4035-4041.
Chen N., Fang F.* (2011) Tilt aftereffect from orientation discrimination learning. Experimental Brain Research 215(3), 227-234.
Bi T.#, Chen N.#, Weng Q.#, He D., Fang F.* (2010) Learning to discriminate face views. Journal of Neurophysiology 104(6), 3305-3311.
王葛彤, 席洁*, 陈霓虹* 黄昌兵. 双眼视差的神经机制与知觉学习效应. 心理科学进展 2021,29(1),56-69.
陈霓虹，方方*. 视觉学习与成人大脑的可塑性. 生命科学 2015,07: 819-826.
