Publications
You can find a full list of my articles and preprints on my Google Scholar profile.
#equal contributions; * corresponding author(s); __ trainees advised
Preprints
[M4] Zhang, D., Wang, Z., Qian, Y., Zhao, Z., Liu, Y., Hao, X., Li, W., Lu, S., Zhu, H., Chen, L., Xu, K., Li, Y.*, Wu, J.*, Lu, J.* (2024). A brain-to-text framework of decoding natural tonal sentences. bioRxiv, 585337, doi: https://doi.org/10.1101/2024.03.16.585337.
[M3] Yang, H., Zhang, S., Wu, Y., Li, Y.*, & Gu, S.* (2021). Effective ensemble of deep neural networks predicts neural responses to naturalistic videos. bioRxiv, 457581. doi: https://doi.org/10.1101/2021.08.24.457581
[M2] Elliott, P. W., Boring, M. J., Li, Y., Richardson, R. M., Ghuman, A. S., & G’sell, M. G. (2019). Shrinkage Classification for Overlapping Time Series: An interpretable method for mapping stimulus-differentiated evoked response. bioRxiv, 733279. doi: https://doi.org/10.1101/733279
[M1] Boring, M. J., Hirshorn, E. A., Li, Y., Ward, M. J., Richardson, R. M., Fiez, J. A., & Ghuman, A. S. (2018). The left midfusiform gyrus interacts with early visual cortex and the anterior temporal lobe to support word individuation. bioRxiv, 411579. doi: https://doi.org/10.1101/411579
Peer-reviewed Journal Articles
[J15] Li, Y.*#, Yang, H.#, & Gu, S.* (2024). Enhancing neural encoding models for naturalistic perception with a multi-level integration of deep neural networks and cortical networks. Science Bulletin, in press. [Link]
[J14] Hou, R.#, Guo, Q.#, Wu, Q.#, Zhao, Z., Hu, X., Yan, Y., He, W., Lyu, P., Su, R., Tan, T., Wang, X.*, Li, Y.*, He, D.*, & Xu, L.* (2024). Quantification of hypsarrhythmia in infantile spasmatic EEG: a large cohort study. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 32, 350-357. [Link]
[J13] 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. 2023 Nov 24. [Link]
[J12] Li, Y., Anumanchipalli, G., Mohamed, A., Chen, P., Carney, L. H., Lu, J., Wu, J., Chang, E.F. (2023). Dissecting neural computations of the human auditory pathway using deep neural networks for speech. Nature Neuroscience, 26(12), 2213–2225.[Link]
[J11] Lu, J.#, Li, Y.#, Zhao, Z.#, Liu, Y. , Zhu, Y., Mao, Y., Wu, J., Chang, E. F. (2023). Neural control of lexical tone production in human laryngeal motor cortex. Nature Communications, 14:6917, 1-14. [Link]
[J10] Stephen, E., Li, Y., Metzger, S., Oganian, Y., & Chang, E. F. (2023). Latent neural dynamics encode temporal context in speech. Hearing Research, vol.437. [Link]
[J9] Liu, Y. , Zhao, Z., Xu, M., Yu, H., Zhu, Y., Zhang, J., Bu, L., Zhang, X., Lu, J.*, Li, Y.*, Ming, D., & Wu, J.* (2023). Decoding and synthesizing tonal language speech from brain activity. Science Advances, 9(23), eadh0478, 1-10. [Link]
[J8] Li, Y.#, Tang, C.#, Lu, J.#, Wu, J., & Chang, E. F. (2021). Human cortical encoding of pitch in tonal and non-tonal languages. Nature Communications, 12:1161, 1-12. [Link]
[J7] Li, Y.*, Ward, M. J., Richardson, R. M., G’Sell, M., & Ghuman, A. S. (2020). Endogenous activity modulates stimulus and circuit-specific neural tuning and predicts perceptual behavior. Nature Communications, 11, 4014, 1-11. [Link]
[J6] Li, Y.*, Richardson, R. M., & Ghuman, A. S. (2019). Posterior fusiform and midfusiform contribute to distinct stages of facial expression processing. Cerebral Cortex, 29(7), 3209-3219. [Link]
[J5] Li, Y.*, Richardson, R. M., & Ghuman, A. S. (2017). Multi-Connection Pattern Analysis: Decoding the representational content of neural communication. NeuroImage, 162, 32-44. [Link]
[J4] Albalawi, H., Li, Y., & Li, X. (2017). Training fixed-point classifiers for on-chip low-power implementation. ACM Transactions on Design Automation of Electronic Systems (TODAES), 22(4), 1-18. [Link]
[J3] Aminoff, E. M., Li, Y., Pyles, J. A., Ward, M. J., Richardson, R. M., & Ghuman, A. S. (2016). Associative hallucinations result from stimulating left ventromedial temporal cortex. Cortex, 83, 139-144. [Link]
[J2] Hirshorn, E. A.#, Li, Y.#, Ward, M. J., Richardson, R. M., Fiez, J. A., & Ghuman, A. S. (2016). Decoding and disrupting left midfusiform gyrus activity during word reading. Proceedings of the National Academy of Sciences, 113(29), 8162-8167. [Link]
[J1] Ghuman, A. S., Brunet, N. M., Li, Y., Konecky, R. O., Pyles, J. A., Walls, S. A., Destefino, V., Wang, W. & Richardson, R. M. (2014). Dynamic encoding of face information in the human fusiform gyrus. Nature Communications, 5(1), 1-10. [Link]
Peer-reviewed Conference Proceedings
[C5] He, L. , Chen, P., Nie, E., Li, Y., Brennan, J. R. (2024) Decoding Probing: Revealing Internal Linguistic Structures in Neural Language Models using Minimal Pairs. 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (COLING 2024). Preprint doi: https://doi.org/10.48550/arXiv.2403.17299
[C4] Chen, P., He, L. , Fu, L., Fan, L., Chang, E. F., & Li, Y. *. (2024) Do self-supervised speech and language models extract similar representations as human brain? 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024), preprint doi: https://arxiv.org/abs/2310.04645
[C3] Li, J. , Guo, C. , Fu, L., Fan, L., Chang, E. F. & Li, Y. *. (2024) Neural2Speech: A Transfer Learning Framework for Neural-Driven Speech Reconstruction, 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024), preprint doi: https://arxiv.org/abs/2310.04644
[C2] Stephen, E., Li, Y., Metzger, S., Oganian, Y., & Chang, E. F. (2021) Multivariate temporal receptive fields in speech perception reflect low-dimensional dynamics. Computational and Systems Neuroscience (Cosyne 2021), 2021
[C1] Albalawi, H., Li, Y., & Li, X. (2014). Computer-aided design of machine learning algorithm: Training fixed-point classifier for on-chip low-power implementation. In Proceedings of the 51st Annual Design Automation Conference (DAC 2014) (pp. 1-6). doi: https://doi.org/10.1145/2593069.2593110
Book Chapters
[B1] Ashburn, S., Abugaber, D., Antony, J., Bennion, K., Bridwell, D., Cardenas-Iniguez, C., Doss, M., Fernández, L., Huijsmans, I., Krisst, L., Lapate, R., Layher, E., Leong, J., Li, Y., Marquez, F., Munoz-Rubke, F., Musz, L., Patterson, T., Powers, J., Proklova, D., Rapuano, K., Robinson, S., Ross, J., Samaha, J., Sazma, M., Stewart, A., Stickel, A., Stolk, A., Vilgis, V., Zirnstein, M. (2020). Towards a socially responsible, transparent, and reproducible cognitive neuroscience. In Poeppel, D., Mangun, G. R., & Gazzaniga, M. S. (Eds.). The Cognitive Neurosciences, Sixth Edition. MIT Press. Link to publisher