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Neuroimage|June 25, 2017
The feature-weighted receptive field: an interpretable encoding model for complex feature spacesGhislain St-Yves, Thomas Naselaris
Conference Proceedings. IEEE International Conference on Systems, Man, and Cybernetics|June 19, 2023
Generative Adversarial Networks Conditioned on Brain Activity Reconstruct Seen ImagesGhislain St-Yves, Thomas Naselaris
Plos Computational Biology|September 12, 2025
Variation in the geometry of concept manifolds across human visual cortexGhislain St-Yves, Kendrick Kay, Thomas Naselaris
Biorxiv : the Preprint Server for Biology|December 9, 2024
Variation in the geometry of concept manifolds across human visual cortexGhislain St-Yves, Kendrick Kay, Thomas Naselaris
Neuroimage|June 15, 2021
Voxel-to-voxel predictive models reveal unexpected structure in unexplained varianceMaggie Mae Mell, Ghislain St-Yves, Thomas Naselaris
Arxiv|July 3, 2023
Second Sight: Using brain-optimized encoding models to align image distributions with human brain activityReese Kneeland, Jordyn Ojeda, Ghislain St-Yves, et al.
Arxiv|May 19, 2023
Reconstructing seen images from human brain activity via guided stochastic searchReese Kneeland, Jordyn Ojeda, Ghislain St-Yves, et al.
Arxiv|January 3, 2024
Brain-optimized inference improves reconstructions of fMRI brain activityReese Kneeland, Jordyn Ojeda, Ghislain St-Yves, et al.
Current Biology : CB|May 4, 2020
Generative Feedback Explains Distinct Brain Activity Codes for Seen and Mental ImagesJesse L Breedlove, Ghislain St-Yves, Cheryl A Olman, et al.
Nature Communications|June 7, 2023
Brain-optimized deep neural network models of human visual areas learn non-hierarchical representationsGhislain St-Yves, Emily J Allen, Yihan Wu, et al.
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