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# co-first author, * corresponding/senior author

Selected Publications

  1. Yang, L, Xie, X., Zheng, W., Fang, F.*, Zhang, R.Y.*. Neural prediction errors as a unified cue of abstract visual reasoning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), doi: 10.1109/TPAMI.2025.3623461. Link.

  2. Cheng, Y.A., Sanayei, M., Chen, X., Jia, K., Li, S., Fang, F., Watanabe, T., Thiele, A., Zhang, R.Y.* (2025). A neural geometry approach comprehensively explains apparently conflicting models of visual perceptual learning. Nature Human Behaviour, 9, 1023-1040. Link, PDF

  3. Pan, W., Geng, H., Zhang, L., Fengler, A., Frank, M.J., Zhang, R.Y.*, Hu, C.P.*. (2025). dockerHDDM: A user-friendly environment for Bayesian Hierarchical Drift-Diffusion Modeling. Advances in Methods and Practices in Psychological Science. https://doi.org/10.1177/25152459241298700. Link, PDF

  4. Teng, X.*, Zhang, R.Y.*. (2025). Sequential temporal anticipation characterized by neural power modulation and in recurrent neural networks. eLife, 13:RP99383. Link, PDF.

  5. Fang, Z., Zhao, M., Xu, T., Li, Y., Xie, H., Quan, P., Geng, H., Zhang, R.Y.*. (2024) Individuals with anxiety and depression use atypical decision strategies in an uncertain world. eLife, 13:RP93887. Link, PDF

  6. Cheng, Z.J.#, Yang, L.#, Zhang, W.H., Zhang, R.Y.*. (2023). Representational geometries reveal differential effects of response correlations on population codes in neurophysiology and functional magnetic resonance imaging. Journal of Neuroscience, 43(24), 4498-4512. Link, PDF.

  7. Yang, L., You, H., Zhen, Z., Wang, D-H., Wan, X., Xie, X., Zhang, R.Y.*. (2023). Neural prediction errors enable abstract analogical reasoning in human standard intelligence tests. In International Conference on Machine Learning (ICML). PMLR. Link, PDF.

  8. 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. In Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI). Link, PDF.

  9. Geng, H., Chen, J.*, Hu, C.P., Jin, J, Raymond C. K. Chan, Li, Y., Hu, X., Zhang, R.Y.*, Zhang, L. (2022). Promoting computational psychiatry in China. Nature Human Behaviour, 6, 615-617. Link, PDF

  10. Bejjanki, V. R.#, Zhang, R. Y.#, Li, R., Pouget, A., Green, C. S., Lu, Z. L., & Bavelier, D. (2014). Action video game facilitates development of better perceptual templates. Proceedings of the National Academy of Sciences, 111(47), 16961-16966. Link, PDF, Supp, CBS News , Bloomberg

  11. Zhang, R. Y.#, Kwon, O. S.#, & Tadin, D. (2013). Illusory Movement of stationary stimuli in the visual periphery: evidence for a strong centrifugal prior in motion processing. Journal of Neuroscience, 33(10), 4415-4423. Link, PDF

In preprint/review/revision

  1. Tomoko Kishimoto*, Cao,K., Wang, T., Zhang, R.Y., Hao, X*. Adjunctive meditation-based awareness training during mandatory detoxification for substance use disorder: A randomized controlled trial.

  2. Jin, Z., Li, S., Gu, S.*, Zhang, R.Y.*, L,Y.*. A large-scale vision-language fMRI dataset for multi-modal semantic processing.

  3. Li, S., Jin, Z., Zhang, R.Y.*, Gu, S.*, L,Y.*. Predictive vision-language integration in the human visual cortex. bioRxiv

  4. You, Y.Q., Li, S., Cheng, Y.A., Li, Y., Kay, K., Zhang, R.Y.*. Attention improves population codes by warping neural manifolds in human visual cortex. bioRxiv

  5. Saha, S., Li, S., Tuckute, G., Li, Y., Zhang, R.Y., Wehbe, L., Fedorenko, E., Khosla, M. Modeling the language cortex with form-independent and enriched representations of sentence meaning reveals remarkable semantic abstractness. arXiv

  6. Xia, Y.F., Gao.Y.Y., Cheng, Z.J., Fang, Z., Li, W., Kishimoto, T., Guo, L., Jiang, H., Zhang, R.Y.*. Atypical contributions of reward decisions to momentary mood in individuals with methamphetamine use disorder. PsyArXiv

  7. Xia, Y.F.#, Zhong, Y.#, Cheng, Z.J., Cong, E.*, Xu, Y.*, Zhang, R.Y.*. Neurocomputational mechanisms of reward-based online mood regulation in adolecents with bipolar disorder and major depressive disorder. PsyArXiv

  8. Zhang, R.Y., Cheng, Z-J., Li Y., Liu, X., He, J., Chen, S-G. Modelling Effects of Mental Fatigue on Perceptual Processing of Cross-country Flight Pilots: A New Joint Model Approach.

    9. Full Publications

  9. Huang, L., Shen, S., Sun, Y., Ou, S., Zhang, R.Y., Lange, F.P., Zhang, X. (2025). Center-surround inhibition in expectation and its underlying computational and artificial neural network models. eLife, 14:RP107301. Link, PDF

  10. Yang, L, Xie, X., Zheng, W., Fang, F.*, Zhang, R.Y.*. Neural prediction errors as a unified cue of abstract visual reasoning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), doi: 10.1109/TPAMI.2025.3623461. Link,

  11. Teng, X.*, Zhang, R.Y.*. (2025). Sequential temporal anticipation characterized by neural power modulation and in recurrent neural networks. eLife 13:RP99383. Link, PDF

  12. Cheng, X., Shen, J., Li, J., Yuan, W., Wang, D., Wang, H., Zhang, R.Y., Xia, Y., Cao, X., Sha, W., He, S., Liu, Y., Tang, J., Zhang, Y., Cheng, Y., Yuan, T., & Zhao, D. (2025). Decision-Making Signatures of Methamphetamine and Alcohol Use Disorders. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. https://doi.org/10.1016/j.bpsc.2025.08.008, Link, PDF

  13. Luo, G., Ma, X., Yea, J., Liu, Y., Xia, Y., Li, C., Kuang, Y., Zhang, R.Y., Lou, S., Yu, K., Wu, M., Li, W. (2025). Audio multi-feature fusion detection for depression based on graph convolutional networks. Ann. N. Y. Acad. Sci. https://doi.org/10.1111/nyas.15366. Link, PDF

  14. Zhang, R. Y.#, Zhao, Y.J.#, Zhang, L., Ran, X., Chen, J., Ku, Y. (2025). Unexpected higher resilience to distraction during visual working memory in schizophrenia. Schizophrenia, 11, 93. Link, PDF

  15. Tomoko Kishimoto#, Sun, L.#, Wang, C., Xu, H., Fu, Y., Cheng, Z.J., Jin, J., Zhang, R.Y.*. (2025). Behavioral and computational signatures of visual working memory deficits in adolescents with anxiety disorder. Current Psychology (44),10754-10768. Link, PDF

  16. Cheng, Y.A., Sanayei, M., Chen, X., Jia, K., Li, S., Fang, F., Watanabe, T., Thiele, A., Zhang, R.Y.* (2025). A neural geometry approach comprehensively explains apparently conflicting models of visual perceptual learning. Nature Human Behaviour, 9, 1023-1040. Link, PDF

  17. Zhang, Y., Hedley, F.E., Zhang, R.Y.*, Frances Jin*. (2025).Towards quantitative cognitive-behavioral modeling of psychopathology: An active inference account of social anxiety disorder. Journal of Psychopathology and Clinical Science,134(4),363-388. Link, PDF

  18. Pan, W., Geng, H., Zhang, L., Fengler, A., Frank, M.J., Zhang, R.Y.*, Hu, C.P.*. (2025). dockerHDDM: A user-friendly environment for Bayesian Hierarchical Drift-Diffusion Modeling. Advances in Methods and Practices in Psychological Science. https://doi.org/10.1177/25152459241298700. Link, PDF

  19. Yang, L., Zhang, R.Y., Chen, Q., Xie, X. (2025). Learning with enriched inductive biases for vision-language models. International Journal of Computer Vision. https://doi.org/10.1007/s11263-025-02354-1. Link, PDF

  20. Chai, Y*. Zhang, R.Y. (2024). Exploring methodological frontiers in laminar fMRI. Psychoradiology, 4, kkae027. Link, PDF

  21. Li S, Li Y*, Zhang, R.Y.*. (2024). Reconstructing continuous language from brain signals measured by fMRI based brain-computer interface. Brain-X, 2:e70001. Link, PDF

  22. Gao, Y-Y., Fang, Z., Zhou, Q.*, Zhang, R.Y.*. (2024). Enhanced 'learning to learn' through a hierarchical dual-learning system: the case of action video game players. BMC Psychology, 12, 460. Link, PDF

  23. Yang, L., Zhang, R.Y., Wang, Y., Xie, X. (2024). MMA: Multi-Modal Adapter for Vision-Language Models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 23826-23837. Link, PDF

  24. Fang, Z., Zhao, M., Xu, T., Li, Y., Xie, H., Quan, P., Geng, H., Zhang, R.Y.*. (2024) Individuals with anxiety and depression use atypical decision strategies in an uncertain world. eLife 13:RP93887. Link, PDF

  25. Yang, L., Zhen, H., Li, L., Li, Y., Zhang, H., Xie, X., Zhang, R.Y.*. (2023). Functional diversity of visual cortex improves constraint-free natural image reconstruction from human brain activity. Fundamental Research (in press). Link, PDF

  26. Wang, Q.*, Wang, Q., Zhang, R.Y.*. (2023). Claim causality with clarity. Psychoradiology, 3, kkad007. Link, PDF

  27. Cheng, Z.J.#, Yang, L.#, Zhang, W.H., Zhang, R.Y.*. (2023). Representational geometries reveal differential effects of response correlations on population codes in neurophysiology and functional magnetic resonance imaging. Journal of Neuroscience, 43(24), 4498-4512. Link, PDF.

  28. Zhao, S., You, H., Zhang, R.Y., Si, B., Zhen, Z., Wan, X., Wang, D.H. (2023). An interpretable neuro-symbolic model on raven’s progressive matrices reasoning. Cognitive Computation, 15(5), 1703-1724. Link, PDF

  29. Kuang, Y., Ma, D., Lan, Z.H., Zeng, S.H., Li, Y., Shang, M., Zhang, R.Y., Wang, L.H., Zhao, B.L., Li, W.D. (2023). The rapid change of mental health in college students after on-campus quarantine in Shanghai 2022 Covid lockdown. Frontiers in Public Health, 11, 1132575. Link, PDF

  30. Yang, L., You, H., Zhen, Z., Wang, D-H., Wan, X., Xie, X., Zhang, R.Y.*. (2023). Neural prediction errors enable abstract analogical reasoning in human standard intelligence tests. In International Conference on Machine Learning (ICML). PMLR. Link, PDF.

  31. 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. In Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI). Link, PDF.

  32. Kong, L.#, Qiu, S.#, Chen, Y., He, Z., Huang, P., He, Q., Zhang, R.Y., Feng, X-Q, Deng, L, Li, Y, Yan, F., Yang, G-Z., Feng, Y. (2023). Assessment of vibration modulated regional cerebral blood flow with MRI. NeuroImage, 119934. Link, PDF

  33. Y, A., Lu, W., Wang, S., You, H., Zhang, R.Y., Wang, D.H., Zhen, Z., Wan, X. (2022). Visual perception inference on raven’s progressive matrices by semi-supervised contrastive learning. In (eds) Artificial Intelligence. CICAI 2022. Lecture Notes in Computer Science(), vol 13605. Springer, Cham. (best student paper award). LINK, PDF

  34. Grier, M.D., Yacoub, E., Adriany, G., Lagore, R.L., Harel, N., Zhang, R. Y., Lenglet, C., Ugurbil, K., Zimmermann*, J., Heibronner, S.R*. (2022). Ultra-high field (10.5T) diffusion-weighted MRI of the macaque brain. NeuroImage, 119200. Link, PDF

  35. Geng, H., Chen, J.*, Hu, C.P., Jin, J, Raymond C. K. Chan, Li, Y., Hu, X., Zhang, R.Y.*, Zhang, L. (2022). Promoting computational psychiatry in China. Nature Human Behaviour, 6, 615-617. Link, PDF

  36. Zhao, Y.J.#, Ma, T.#, Zhang, L., Ran, X., Zhang, R. Y.*, Ku, Y.* (2021). Atypically larger variability of resource allocation accounts for visual working memory deficits in schizophrenia. PLoS computational biology, 17(11): e1009544. Link, PDF

  37. Zhang, R. Y.#, Chopin, A.#, Shibata, K., Lu, Z. L., Jaeggi, S., Buschkuehl, M., Green, C.S., & Bavelier, D. (2021). Action video game play facilitates 'learning to learn'. Communications biology, 4, 1154. Link, PDF

  38. Zhang, C., Duan, X., Wang, L., Li, Y., Yan, B., Hu, G., Zhang, R. Y.*, Tong, L*. (2021). Dissociable neural representations of adversarially perturbed images in deep neural networks and the human brain. Frontiers in Neuroinformatics, 15, 677925. Link, PDF

  39. Yang, L., Zhang, R. Y., Li, L., Xie, X. (2021). SimAM: a simple, parameter-free attention module for convolutional neural networks. In International Conference on Machine Learning (ICML). PMLR. Link, PDF

  40. Kishimoto, T., Wen, X., Li, M., Zhang, R. Y., Yao, N., Huang, Y., Qian, M. (2021). Vigilance-avoidance toward negative faces in social anxiety with and without comorbid depression. Frontiers in Psychiatry, 12, 410. Link, PDF

  41. Barbot, A., Park, W. J., Zhang, R. Y., Ng, C., Huxlin, K. R., Tadin, D., Yoon, G. (2021). Functional reallocation of sensory processing resources caused by long-term neural adaptation to altered optics. eLife, 10, e58734. Link, PDF

  42. Liu, S., Zhang, R. Y., & Kishimoto, T. (2021). Analysis and prospect of clinical psychology based on topic models: hot research topics and scientific trends in the latest decades. Psychology, health & medicine, 26(4), 395-407. Link, PDF

  43. Kay, K., Jamison, K. W., Zhang, R. Y., & Uğurbil, K. (2020). A temporal decomposition method for identifying venous effects in task-based fMRI. Nature Methods, 17(10), 1033-1039. Link, PDF

  44. Zhang, R. Y.*, Wei, X. X., & Kay, K. (2020). Understanding multivariate brain activity: evaluating the effect of voxelwise noise correlations on population codes in functional magnetic resonance imaging. PLoS computational biology, 16(8), e1008153. Link, PDF

  45. Zhang, R. Y.*, & Kay, K. (2020). Flexible top-down modulation in human ventral temporal cortex. NeuroImage, 218, 116964. Link, PDF

  46. Margalit, E., Jamison, K. W., Weiner, K. S., Vizioli, L.,Zhang, R. Y., Kay, K. N., & Grill-Spector, K. (2020). Ultra-high-resolution fMRI of human ventral temporal cortex reveals differential representation of categories and domains. Journal of Neuroscience, 40(15), 3008-3024. Link, PDF

  47. Yao, S., Akter, F., Zhang, R. Y., Li, Z. (2020). Letter to the Editor. Structural retinotopic analysis at 7-Tesla MRI in pituitary macroadenomas. Journal of Neurosurgery, 133(5), 1622-1624. Link, PDF

  48. Yao, S., Lin, P., Vera, M., Akter, F., Zhang, R. Y., Zeng, A., Golby, A.J., Xu, G., Tie, Y., & Song, J. (2020). Hormone levels are related to functional compensation in prolactinomas: a resting-state fMRI study. Journal of the Neurological Science, 411, 116720. Link, PDF

  49. Zhang, R. Y.*, Wei, X.X., Teng, X., Kay, K. (2019). Trial-by-trial voxelwise noise correlations improve population coding of orientation in human V1. Proceedings of Conference on Cognitive Computational Neuroscience (CCN). PDF

  50. Zhang, C., Qiao, K., Wang, L., Tong, L., Hu, G.,Zhang, R. Y.*, & Yan, B*. (2019). A visual encoding model based on deep neural networks and transfer learning. Journal of Neuroscience Methods, 325, 108318. Link, PDF

  51. Fang, W., Zhang, R. Y., Zhao, Y., Wang, L., & Zhou, Y. D. (2019). Attenuation of pain perception induced by the rubber hand illusion. Frontiers in Neuroscience, 13, 261. Link, PDF

  52. Kay, K., Jamison, K. W., Vizioli, L., Zhang, R. Y., Margalit, E., & Ugurbil, K. (2019). A critical assessment of data quality and venous effects in ultra-high-resolution fMRI. NeuroImage, 189, 847-869. Link, PDF.

  53. Zhang, R. Y.*, & Tadin, D. (2019). Disentangling locus of perceptual learning in the visual hierarchy of motion processing. Scientific reports, 9(1), 1-10. Link, PDF, Supp

  54. Zhang, R. Y.*, & Kay, K. (2018). The impact of noise correlation on multivariate pattern classification in fMRI. Proceedings of Conference on Cognitive Computational Neuroscience (CCN). PDF

  55. Zhang, C., Duan, X., Zhang, R. Y.*, Tong, L*. (2018). Representation of adversarial images in deep neural networks and the human brain. Proceedings of Conference on Cognitive Computational Neuroscience (CCN). PDF

  56. Zhao, Y., Ran, X., Zhang, L., Zhang, R. Y.*, Ku, Y*. (2018). Modeling visual working memory in Schizophrenia. Proceedings of Conference on Cognitive Computational Neuroscience (CCN). PDF

  57. Park, W. J., Schauder, K. B., Zhang, R. Y., Bennetto, L., & Tadin, D. (2017). High internal noise and poor external noise filter characterize perception in autism spectrum disorder. Scientific reports, 7(1), 1-12. Link, PDF

  58. Zhang, R. Y., Engel, S. A., & Kay, K. (2017). Binocular Rivalry: a window into cortical competition and suppression. Journal of Indian Institute of Sciences, 97(4), 477-485. Link, PDF

  59. Zhang, R. Y.*, Kay, K. (2017). Attentional field model does not explain task-dependent spatial representation in human ventral temporal cortex. Proceedings of Conference on Cognitive Computational Neuroscience (CCN). PDF

  60. Nyquist, J. B., Lappin, J. S., Zhang, R. Y., & Tadin, D. (2016). Perceptual training yields rapid improvements in visually impaired youth. Scientific reports, 6(1), 1-13. Link, PDF ~Press Release, Science Daily

  61. Cavanaugh, M. R.#, Zhang, R. Y.#, Melnick, M. D., Das, A., Roberts, M., Tadin, D., Carrasco, M., & Huxlin, K. R. (2015). Visual recovery in cortical blindness is limited by high internal noise. Journal of Vision, 15(10):9, 1-18. Link, PDF

  62. Bejjanki, V. R.#, Zhang, R. Y.#, Li, R., Pouget, A., Green, C. S., Lu, Z. L., & Bavelier, D. (2014). Action video game facilitates development of better perceptual templates. Proceedings of the National Academy of Sciences, 111(47), 16961-16966. Link, PDF, Supp, CBS News , Bloomberg

  63. Zhang, R. Y.#, Kwon, O. S.#, & Tadin, D. (2013). Illusory Movement of stationary stimuli in the visual periphery: evidence for a strong centrifugal prior in motion processing. Journal of Neuroscience, 33(10), 4415-4423. Link, PDF