Publications

Publications#

M Feilong, Y Zhang. Advancing neural decoding with deep learning: Computational neuroscience. Nature Computational Science, 1–2, 2025. doi: https://doi.org/10.1038/s43588-025-00837-2
Y Zhang, MI Gobbini, JV Haxby, M Feilong. Boosting Hyperalignment Performance with Age-specific Templates. bioRxiv, 2025.02.19.639148. doi: https://doi.org/10.1101/2025.02.19.639148
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: https://doi.org/10.1101/2025.01.30.635800

M Feilong, G Jiahui, MI Gobbini, JV Haxby. A cortical surface template for human neuroscience. Nature Methods 21 (9), 1736–1742. doi: https://doi.org/10.1038/s41592-024-02346-y
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: https://doi.org/10.1523/JNEUROSCI.0735-23.2023

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: https://doi.org/10.1073/pnas.2304085120
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: https://doi.org/10.1162/imag_a_00032
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: https://doi.org/10.7554/eLife.86037
G Jiahui, M Feilong, SA Nastase, JV Haxby, MI Gobbini. Cross-movie prediction of individualized functional topography. eLife 12, e86037. doi: https://doi.org/10.7554/eLife.86037

M Feilong, JS Guntupalli, JV Haxby. The neural basis of intelligence in fine-grained cortical topographies. eLife 10, e64058. doi: https://doi.org/10.7554/eLife.64058
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: https://doi.org/10.1016/j.neuroimage.2021.117975
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: https://doi.org/10.1002/da.23139

JV Haxby, JS Guntupalli, SA Nastase, M Feilong. Hyperalignment: Modeling shared information encoded in idiosyncratic cortical topographies. eLife 9, e56601. doi: https://doi.org/10.7554/eLife.56601
G Jiahui, M Feilong, MV di Oleggio Castello, JS Guntupalli, V Chauhan, … Predicting individual face-selective topography using naturalistic stimuli. NeuroImage 216, 116458. doi: https://doi.org/10.1016/j.neuroimage.2019.116458

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: https://doi.org/10.1371/journal.pcbi.1006120
M Feilong, SA Nastase, JS Guntupalli, JV Haxby. Reliable individual differences in fine-grained cortical functional architecture. NeuroImage 183, 375–386. doi: https://doi.org/10.1016/j.neuroimage.2018.08.029
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: https://doi.org/10.3389/fnins.2018.00437

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: https://doi.org/10.1371/journal.pone.0099889