Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images. - Pradeep Ravikumar; Vincent Q. Vu; Bin Yu 001; Thomas Naselaris; Kendrick N. Kay; Jack L. Gallant (NIPS, 2008)

Bayesian Reconstruction of Perceptual Experiences from Human Brain Activity. - Jack L. Gallant; Thomas Naselaris; Ryan J. Prenger; Kendrick N. Kay; Dustin Stansbury; Michael Oliver; An Vu; Shinji Nishimoto (HCI (16), 2009)

Encoding and decoding in fMRI. - Thomas Naselaris; Kendrick N. Kay; Shinji Nishimoto; Jack L. Gallant (NeuroImage, 2011)

A voxel-wise encoding model for early visual areas decodes mental images of remembered scenes. - Thomas Naselaris; Cheryl A. Olman; Dustin E. Stansbury; Kâmil Ugurbil; Jack L. Gallant (NeuroImage, 2015)

Generative Adversarial Networks Conditioned on Brain Activity Reconstruct Seen Images. - Ghislain St-Yves; Thomas Naselaris (SMC, 2018)

The feature-weighted receptive field: an interpretable encoding model for complex feature spaces. - Ghislain St-Yves; Thomas Naselaris (NeuroImage, 2018)

Tracking the Development of Functional Connectomes for Face Processing. - Jane E. Joseph; Davy Vanderweyen; Joshua E. Swearingen; Brandon K. Vaughan; Derek Novo; Xun Zhu; Mulugeta Gebregziabher; Leonardo Bonilha; Ramesh S. Bhatt; Thomas Naselaris; Brian Dean (Brain Connect., 2019)

NeuroGen: activation optimized image synthesis for discovery neuroscience. - Zijin Gu; Keith Jamison; Meenakshi Khosla; Emily J. Allen; Yihan Wu; Thomas Naselaris; Kendrick N. Kay; Mert R. Sabuncu; Amy Kuceyeski (CoRR, 2021)

Voxel-to-voxel predictive models reveal unexpected structure in unexplained variance. - Maggie Mae Mell; Ghislain St-Yves; Thomas Naselaris (NeuroImage, 2021)

Semantic scene descriptions as an objective of human vision. - Adrien Doerig; Tim C. Kietzmann; Emily J. Allen; Yihan Wu; Thomas Naselaris; Kendrick N. Kay; Ian Charest (CoRR, 2022)

NeuroGen: Activation optimized image synthesis for discovery neuroscience. - Zijin Gu; Keith Jamison; Meenakshi Khosla; Emily J. Allen; Yihan Wu; Ghislain St-Yves; Thomas Naselaris; Kendrick N. Kay; Mert R. Sabuncu; Amy Kuceyeski (NeuroImage, 2022)

Reconstructing seen images from human brain activity via guided stochastic search. - Reese Kneeland; Jordyn Ojeda; Ghislain St-Yves; Thomas Naselaris (CoRR, 2023)

Second Sight: Using brain-optimized encoding models to align image distributions with human brain activity. - Reese Kneeland; Jordyn Ojeda; Ghislain St-Yves; Thomas Naselaris (CoRR, 2023)

Brain-optimized inference improves reconstructions of fMRI brain activity. - Reese Kneeland; Jordyn Ojeda; Ghislain St-Yves; Thomas Naselaris (CoRR, 2023)

Better models of human high-level visual cortex emerge from natural language supervision with a large and diverse dataset. - Aria Y. Wang; Kendrick N. Kay; Thomas Naselaris; Michael J. Tarr; Leila Wehbe (Nat. Mac. Intell., 2023)

MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data. - Paul S. Scotti; Mihir Tripathy; Cesar Torrico 002; Reese Kneeland; Tong Chen; Ashutosh Narang; Charan Santhirasegaran; Jonathan Xu; Thomas Naselaris; Kenneth A. Norman; Tanishq Mathew Abraham (ICML, 2024)

How does the primate brain combine generative and discriminative computations in vision? - Benjamin Peters; James J. DiCarlo; Todd M. Gureckis; Ralf Haefner; Leyla Isik; Joshua B. Tenenbaum; Talia Konkle; Thomas Naselaris; Kimberly L. Stachenfeld; Zenna Tavares; Doris Tsao; Ilker Yildirim; et al. (CoRR, 2024)

Stacked regressions and structured variance partitioning for interpretable brain maps. - Ruogu Lin; Thomas Naselaris; Kendrick N. Kay; Leila Wehbe (NeuroImage, 2024)

NSD-Imagery: A Benchmark Dataset for Extending fMRI Vision Decoding Methods to Mental Imagery. - Reese Kneeland; Paul S. Scotti; Ghislain St-Yves; Jesse Breedlove; Kendrick N. Kay; Thomas Naselaris (CVPR, 2025)