2025¶
M Feilong, Y Zhang. Advancing neural decoding with deep learning: Computational neuroscience. Nature Computational Science, 1–2, 2025. doi: Feilong & Zhang (2025)
Y Zhang, MI Gobbini, JV Haxby, M Feilong. Boosting Hyperalignment Performance with Age-specific Templates. bioRxiv, 2025.02.19.639148. doi: Zhang et al. (2025)
H Jung, X Han, M Feilong, J Han, D Shokeen, CV Uden, I Hanson, ... Action features dominate cortical representation during natural vision. bioRxiv, 2025.01.30.635800. doi: Jung et al. (2025)
2024¶
M Feilong, G Jiahui, MI Gobbini, JV Haxby. A cortical surface template for human neuroscience. Nature Methods 21 (9), 1736–1742. doi: Feilong et al. (2024)
EL Busch, KM Rapuano, KM Anderson, MD Rosenberg, R Watts, ... Dissociation of reliability, heritability, and predictivity in coarse-and fine-scale functional connectomes during development. Journal of Neuroscience 44 (6). doi: Busch et al. (2024)
2023¶
G Jiahui, M Feilong, M Visconti di Oleggio Castello, SA Nastase, ... Modeling naturalistic face processing in humans with deep convolutional neural networks. PNAS 120 (43), e2304085120. doi: Jiahui et al. (2023)
M Feilong, SA Nastase, G Jiahui, YO Halchenko, MI Gobbini, JV Haxby. The individualized neural tuning model: Precise and generalizable cartography of functional architecture in individual brains. Imaging Neuroscience 1, 1–34. doi: Feilong et al. (2023)
C Lee, J Han, M Feilong, G Jiahui, J Haxby, C Baldassano. Hyper-HMM: aligning human brains and semantic features in a common latent event space. NeurIPS 36, 27005–27019. doi: Lee et al. (2023)
G Jiahui, M Feilong, SA Nastase, JV Haxby, MI Gobbini. Cross-movie prediction of individualized functional topography. eLife 12, e86037. doi: Lee et al. (2023)
2021¶
M Feilong, JS Guntupalli, JV Haxby. The neural basis of intelligence in fine-grained cortical topographies. eLife 10, e64058. doi: Feilong et al. (2021)
EL Busch, L Slipski, M Feilong, JS Guntupalli, MV di Oleggio Castello, ... Hybrid hyperalignment: A single high-dimensional model of shared information embedded in cortical patterns of response and functional connectivity. NeuroImage 233, 117975. doi: Busch et al. (2021)
LM Sippel, PE Holtzheimer, JF Huckins, E Collier, M Feilong, T Wheatley, ... Neurocognitive mechanisms of poor social connection in posttraumatic stress disorder: Evidence for abnormalities in social working memory. Depression and Anxiety 38 (6), 615–625. doi: Sippel et al. (2021)
2020¶
JV Haxby, JS Guntupalli, SA Nastase, M Feilong. Hyperalignment: Modeling shared information encoded in idiosyncratic cortical topographies. eLife 9, e56601. doi: Haxby et al. (2020)
G Jiahui, M Feilong, MV di Oleggio Castello, JS Guntupalli, V Chauhan, ... Predicting individual face-selective topography using naturalistic stimuli. NeuroImage 216, 116458. doi: Jiahui et al. (2020)
2018¶
JS Guntupalli, M Feilong, JV Haxby. A computational model of shared fine-scale structure in the human connectome. PLOS Computational Biology 14 (4), e1006120. doi: Guntupalli et al. (2018)
M Feilong, SA Nastase, JS Guntupalli, JV Haxby. Reliable individual differences in fine-grained cortical functional architecture. NeuroImage 183, 375–386. doi: Feilong et al. (2018)
CE Van Uden, SA Nastase, AC Connolly, M Feilong, I Hansen, MI Gobbini, ... Modeling semantic encoding in a common neural representational space. Frontiers in Neuroscience 12, 437. doi: Van Uden et al. (2018)
2014¶
X Li, AD Beuckelaer, J Guo, F Ma, M Xu, J Liu. The gray matter volume of the amygdala is correlated with the perception of melodic intervals: a voxel-based morphometry study. PLOS ONE 9 (6), e99889. doi: Li et al. (2014)
- Feilong, M., & Zhang, Y. (2025). Advancing neural decoding with deep learning: Computational neuroscience. Nature Computational Science, 1–2. https://doi.org/10.1038/s43588-025-00837-2
- Zhang, Y., Gobbini, M. I., Haxby, J. V., & Feilong, M. (2025). Boosting Hyperalignment Performance with Age-specific Templates. bioRxiv, 2025–02. https://doi.org/10.1101/2025.02.19.639148
- Jung, H., Han, X., Feilong, M., Han, J., Shokeen, D., Uden, C. V., Hanson, I., Connolly, A. C., Haxby, J. V., & Nastase, S. A. (2025). Action features dominate cortical representation during natural vision. bioRxiv, 2025–01. https://doi.org/10.1101/2025.01.30.635800
- Feilong, M., Jiahui, G., Gobbini, M. I., & Haxby, J. V. (2024). A cortical surface template for human neuroscience. Nature Methods, 21(9), 1736–1742. https://doi.org/10.1038/s41592-024-02346-y
- Busch, E. L., Rapuano, K. M., Anderson, K. M., Rosenberg, M. D., Watts, R., Casey, B., Haxby, J. V., & Feilong, M. (2024). Dissociation of reliability, heritability, and predictivity in coarse-and fine-scale functional connectomes during development. Journal of Neuroscience, 44(6). https://doi.org/10.1523/JNEUROSCI.0735-23.2023
- Jiahui, G., Feilong, M., Visconti di Oleggio Castello, M., Nastase, S. A., Haxby, J. V., & Gobbini, M. I. (2023). Modeling naturalistic face processing in humans with deep convolutional neural networks. Proceedings of the National Academy of Sciences, 120(43), e2304085120. https://doi.org/10.1073/pnas.2304085120
- Feilong, M., Nastase, S. A., Jiahui, G., Halchenko, Y. O., Gobbini, M. I., & Haxby, J. V. (2023). The individualized neural tuning model: Precise and generalizable cartography of functional architecture in individual brains. Imaging Neuroscience, 1, 1–34. https://doi.org/10.1162/imag_a_00032
- Lee, C., Han, J., Feilong, M., Jiahui, G., Haxby, J., & Baldassano, C. (2023). Hyper-HMM: aligning human brains and semantic features in a common latent event space. Advances in Neural Information Processing Systems, 36, 27005–27019. https://doi.org/10.7554/eLife.86037
- Feilong, M., Guntupalli, J. S., & Haxby, J. V. (2021). The neural basis of intelligence in fine-grained cortical topographies. Elife, 10, e64058. https://doi.org/10.7554/eLife.64058
- Busch, E. L., Slipski, L., Feilong, M., Guntupalli, J. S., di Oleggio Castello, M. V., Huckins, J. F., Nastase, S. A., Gobbini, M. I., Wager, T. D., & Haxby, J. V. (2021). Hybrid hyperalignment: A single high-dimensional model of shared information embedded in cortical patterns of response and functional connectivity. NeuroImage, 233, 117975. https://doi.org/10.1016/j.neuroimage.2021.117975
- Sippel, L. M., Holtzheimer, P. E., Huckins, J. F., Collier, E., Feilong, M., Wheatley, T., & Meyer, M. L. (2021). Neurocognitive mechanisms of poor social connection in posttraumatic stress disorder: Evidence for abnormalities in social working memory. Depression and Anxiety, 38(6), 615–625. https://doi.org/10.1002/da.23139
- Haxby, J. V., Guntupalli, J. S., Nastase, S. A., & Feilong, M. (2020). Hyperalignment: Modeling shared information encoded in idiosyncratic cortical topographies. Elife, 9, e56601. https://doi.org/10.7554/eLife.56601
- Jiahui, G., Feilong, M., di Oleggio Castello, M. V., Guntupalli, J. S., Chauhan, V., Haxby, J. V., & Gobbini, M. I. (2020). Predicting individual face-selective topography using naturalistic stimuli. NeuroImage, 216, 116458. https://doi.org/10.1016/j.neuroimage.2019.116458
- Guntupalli, J. S., Feilong, M., & Haxby, J. V. (2018). A computational model of shared fine-scale structure in the human connectome. PLoS Computational Biology, 14(4), e1006120. https://doi.org/10.1371/journal.pcbi.1006120
- Feilong, M., Nastase, S. A., Guntupalli, J. S., & Haxby, J. V. (2018). Reliable individual differences in fine-grained cortical functional architecture. NeuroImage, 183, 375–386. https://doi.org/10.1016/j.neuroimage.2018.08.029