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)

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

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)

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)