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# co-first author, * corresponding/senior author

In preprint/review/revision

  1. Yang, L., Zhang, R.Y., Chen, Q., Xie, X. Learning with enriched inductive biases for vision-language models.

  2. Gao, Y-Y., Fang, Z., Zhou, Q., Zhang, R.Y.*. Enhanced 'learning to learn' through a hierarchical dual-learning system: the case of action video game players.

  3. Yang, L, Xie, X., Zheng, W., Fang, F., Zhang, R.Y.*. Neural prediction error as a unified cue of abstract visual reasoning.

  4. Cheng, Y.A., Sanayei, M., Chen, X., Jia, K., Li, S., Fang, F., Watanabe, T., Thiele, A., Zhang, R.Y.*. A neural geometry theory comprehensively explains apparently conflicting models of visual perceptual learning. bioRxiv

  5. 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

  6. Tomoko Kishimoto, Sun, L., Wang, C., Xu, H., Fu, Y., Cheng, Z.J., Jin, J., Zhang, R.Y.*. Behavioral and computational signatures of visual working memory deficits in adolescents with anxiety disorder. PsyArXiv

  7. Ma, X.#, He, X.#, Wu, M., Kuang, Y., Zeng, S., Zhao, B., Wang, L., Li, Y., Xue, M., Sang, S., Shang, M., Zhang, X., Wang, S., Zhang, R.Y.*, Li, W.D.*. Rapid increase in depression within the first month of the Shanghai Covid lockdown in 2022. (in review). PsyArXiv

  8. Molano-Mazón, M, Barbosa, J., Pastor-Ciurana, J., Fradera, M., Zhang, R.Y., Forest, J., Pozo, J.D., Ji-An, L., Cueva, C.J., Rocha, J.D.L., Narain, D., Yang, R.G. NeuroGym: An open resource for developing and sharing neuroscience tasks. PsyArXiv

  9. Zhao, Y., Ran, X., Zhang, L., Zhang, R. Y.*, Ku, Y.* Unexpected higher resilience to distraction during visual working memory in schizophrenia. (in revision) bioRxiv

Publications

  1. Li, S.R., Li, Y.N.*, Zhang, R.Y.*. (2024). Commentary: Reconstructing continuous language from brain signals measured by functional magnetic resonance imaging. Brain-X (accepted).

  2. Teng, X.*, Zhang, R.Y.*. (2024). Sequential Temporal Anticipation Characterized by Neural Power Modulation and in Recurrent Neural Networks. eLife. Link

  3. 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

  4. 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. Link, PDF

  5. 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

  6. Wang, Q.*, Wang, Q., Zhang, R.Y.*. (2023). Claim causality with clarity. Psychoradiology, 3, 1-4. Link, PDF

  7. 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.

  8. 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, 1-22. Link, PDF

  9. 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

  10. 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.

  11. 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.

  12. 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

  13. 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 Chinese International Conference on Artificial Intelligence (CICAI, best student paper award). PDF

  14. 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

  15. 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 Behavior, 1-3. Link, PDF

  16. 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

  17. 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

  18. 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

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

  20. 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

  21. 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

  22. 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

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

  24. 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

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

  26. 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

  27. 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

  28. 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

  29. 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 (CCN2019). PDF

  30. 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

  31. 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

  32. 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.

  33. 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

  34. Zhang, R. Y.*, & Kay, K. (2018). The impact of noise correlation on multivariate pattern classification in fMRI. Proceedings of Conference on Cognitive Computational Neuroscience (CCN2018). PDF

  35. 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 (CCN2018). PDF

  36. 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 (CCN2018). PDF

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

  38. 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

  39. 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 (CCN2017). PDF

  40. 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

  41. 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), 9-9. Link, PDF

  42. 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 template. Proceedings of the National Academy of Sciences, 111(47), 16961-16966. Link, PDF, Supp, CBS News , Bloomberg

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