Principal Investigator

Sheng Li
Visual perception, attention, learning and memory

address: Department of Psychology, Peking University, 5 Yiheyuan Road, Haidian, Beijing 100871 China


Research Interests:

We explore the cognitive mechanisms of the human brain through the investigations of the visual information processing. In the past ten years, our lab has accomplished dozens of studies ranging from visual perception to attention, learning and memory. Significant amount of experience has been accumulated during these investigations. We will continue to take the advantage of multiple brain imaging and stimulation techniques (EEG, MEG, 3T/7T fMRI, TMS, and tES), combined with computational modelling. We will specifically focus on attention-based information processing mechanism and how the brain uses the memory representations of the processed information in guiding thought and behavior.


Selected Publications:

  1. Huang, Z., Niu, Z., & Li, S. (2023). Reactivation-induced memory integration prevents proactive interference in perceptual learning. Journal of Vision, 23(5), 1.
  2. Zhang, Q., Huang, Z., Li, L., & Li, S. (2022) Visual search training benefits from the integrative effect of enhanced covert attention and optimized overt eye movements. Journal of Vision, 22(8):7.
  3. Wen, W., Huang, Z., Hou, Y., & Li, S. (2022) Tracking neural markers of template formation and implementation in attentional inhibition under different distractor consistency. Journal of Neuroscience, 42 (24) 4927-4936.
  4. Huang, Z., & Li, S. (2022). Reactivation of learned reward association reduces retroactive interference from new reward learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 48(2), 213-225.
  5. Jia, K.†, Li, Y.†, Gong, M.†, Huang, H., Wang, Y., & Li, S. (2021). Perceptual learning beyond perception: Mnemonic representation in early visual cortex and intraparietal sulcus. Journal of Neuroscience, 41(20), 4476-4486. (†co-first authors)
  6. Li, Y., Wang, Y., & Li, S. (2019). Recurrent processing of contour integration in the human visual cortex as revealed by fMRI-guided TMS. Cerebral Cortex, 29(1), 17-26.
  7. Jia, K., Xue, X., Lee, J., Fang, F., Zhang, J., & Li, S. (2018). Visual perceptual learning modulates decision network in the human brain: The evidence from psychophysics, modeling, and functional magnetic resonance imaging. Journal of Vision, 18(12), 1-19.
  8. Gong, M.†, Jia, K.†, & Li, S. (2017). Perceptual competition promotes suppression of reward salience in behavioral selection and neural representation. Journal of Neuroscience, 37(26), 6242-6252. (†co-first authors)
  9. Li, T., Wang, X., Pan, J., Feng, S., Gong, M., Wu, Y., Li, G., Li, S.*, & Yi, L.* (2017). Reward learning modulates the attentional processing of faces in children with and without autism spectrum disorder: Reward learning in autism. Autism Research, 10(11), 1797-1807. (*co-corresponding authors)
  10. Gong, M., & Li, S. (2014). Learned reward association improves visual working memory. Journal of Experimental Psychology: Human Perception and Performance, 40(2), 841-856. 


Lab Website: