Laboratory of Cognitive Computational Neuroscience and Neuroimaging

We are recruiting undergraduate research assistants and graduate students!!! Let me know if you are interested in Cognitive Science, Computational Psychiatry, and Neuroimaging. See details in Resources section

The group of Cognitive Computational Neuroscience and Neuroimaging (CCNN) is led by Dr. Ru-Yuan Zhang (张洳源 in Chinese), who is currently a Principal Investigator at the Institute of Psychology and Behavioral Science and Shanghai Mental Health Center at Shanghai Jiao Tong University, Shanghai, China.

We are interested in using various behavioral and neuroimaging methods to investigate computational principles of human cognition.

Dr. Ru-Yuan Zhang
Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University
Shanghai Mental Health Center, School of Medicine, Shanghai Jiao Tong University
Shanghai, China. 200030

Mail to:
315 Zhongyuan, Shanghai Jiao Tong University
1954 Huashan Road, Xuhui District
Shanghai, China 200030
Email: or


  • Nov 19, 2023
      We are glad to share our new work on perceptual learning in humans, macaques, and convolutional neural network.
    • Cheng, Y.A., Sanayei, M., Chen, X., Jia, K., Li, Sheng., Fang, F., Watanabe, T., Thiele, A., Zhang, R.Y.*. Noise reduction as a unified mechanism of perceptual learning in humans, macaques, and convolutional neural networks. bioRxiv

  • Nov 13, 2023
      We are glad that our work about decision deficits in individuals with anxiety and depression has been recently accepted by eLife.
    • Fang, Z., Zhao, M., Xu, T., Li, Y., Xie, H., Quan, P., Geng, H., Zhang, R.Y.*. (2023) Individuals with anxiety and depression use atypical decision strategies in an uncertain world. eLife (accepted).
  • April 25, 2023
      We are glad that two papers about abstract analogical reasoning in Raven's progressive matrix have been accepted by ICML2023 and IJCAI 2023. They are the first batch of top conference papers from the lab.
    • Yang, L., You, H., Zhen, Z., Wang, D.H., Wan, X., Xie, X., Zhang, R.Y.. (2023). Neural prediction errors enable analogical visual reasoning in human standard intelligence tests. International Conference on Machine Learning. ICML 2023.
    • Xu, Y.#, Yang, L.#, You, H., Zhen, Z., Wang, D.H., Wan, X., Xie, X., Zhang, R.Y.. (2023). RuleMatch: matching abstract rules for semi-supervised learning of human standard intelligence tests. The 32nd International Joint Conference on Artificial Intelligence. IJCAI 2023.
  • Nov 11, 2022
      We are pleased to announce our preprints recently released. I started this projected two years ago during COVID-19 pandamic. It is finally out.
    • Cheng, Z-J., Zhang, W-H., Zhang, R.Y.*. Representational geometries reveal differential effects of response correlations on population codes in neurophysiology and functional magnetic resonance imaging. bioRxiv
  • Nov 11, 2022
      We are pleased to announce several preprints recently released.
    • Hu, C.P.*, Geng, H., Zhang, L., Fengler, A., Frank, M.J., Zhang, R.Y.*. A Hitchhiker's Guide to Bayesian Hierarchical Drift-Diffusion Modeling with dockerHDDM. PsyArXiv PsyArXiv
    • Tomoko Kishimoto, Sun, L., Wang, C., Xu, H., Fu, Y., Cheng, Z.J., Jin, J., Zhang, R.Y.*. Psychophysical and Computational Signatures of Visual Working Memory Deficits in Adolescents with Anxiety Disorder. PsyArXiv
  • April 29, 2022
    • 10.5T paper "Ultra-high field (10.5T) diffusion-weighted MRI of the macaque brain" published in Neuroimage Link
  • March 29, 2022
    • Comment article "Promoting computational psychiatry in China" is online in Nature Human Behavior. We argue that development of computational psychiatry can greatly benefit confronting mental health problems in China. Link
  • March 03, 2022
    • New comment article "Promoting computational psychiatry in China" accepted in Nature Human Behavior
  • Sep 23, 2021
    • New paper "Atypically larger variability of resource allocation accounts for visual working memory deficits in schizophrenia" accepted in PLoS computational biology
  • July 22, 2021
    • New paper "Dissociable neural representations of adversarially perturbed images in deep neural networks and the human brain" accepted in Frontiers in NeuroInformatics
    • New paper "Action video game play facilitates 'learning to learn'" accepted in Communications biology
  • May 8, 2021
    • New paper "SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks" accepted in ICML
  • Oct 10, 2020
    • New lab page is online!
  • July 16, 2020
    • New paper about noise correlations in fMRI has been accepted in Plos Computational Biology
  • May 14, 2020
    • New paper has been accepted in Neuroimage!
  • Jan 06, 2020
    • Start the new job at National Instititue of Mental Health
  • Dec 08, 2019
    • New preprint online bioRxiv
      We develop a temporal decomposition method to remove venous effects in 7T high-resolution imaging
  • Oct 06, 2019
    • New website online!
  • July 28, 2019
    • Our short paper on noise correlation on human V1 activity accepted in Cognitive Computational Neuroscience Conference at Berlin this year!
  • July 06, 2019
    • Our new paper based on transfer learning and CNN has been published in Journal of Neuroscience Methods link
  • March 31, 2019
    • Checkout my new paper about noise correlations and information coding in fMRI data.bioRxiv
  • March 6, 2019
    • New paper about pain perception and rubber hand illusion has been accepted in Frontiers in Neurosicence.PDF
  • March 5, 2019
    • New manuscript about visual working memory and distractibility in schizophrenia is available from bioRxiv.
  • Feb 25, 2019
    • New manuscript about visual encoding models with transfer learning and non-linear prediction algorithms has been submitted. The manuscript is available from arxiv.
    • New Neuroimage paper has been published. PDF