Ghislain St-Yves
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Explore the profile of Ghislain St-Yves including associated specialties, affiliations and a list of published articles.
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14
Citations
217
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Recent Articles
1.
St-Yves G, Kay K, Naselaris T
bioRxiv
. 2024 Dec;
PMID: 39651255
Brain activity patterns in high-level visual cortex support accurate linear classification of visual concepts (e.g., objects or scenes). It has long been appreciated that the accuracy of linear classification in...
2.
Kneeland R, Ojeda J, St-Yves G, Naselaris T
ArXiv
. 2024 Jan;
PMID: 38168454
The release of large datasets and developments in AI have led to dramatic improvements in decoding methods that reconstruct seen images from human brain activity. We evaluate the prospect of...
3.
Kneeland R, Ojeda J, St-Yves G, Naselaris T
ArXiv
. 2023 Jul;
PMID: 37396609
Two recent developments have accelerated progress in image reconstruction from human brain activity: large datasets that offer samples of brain activity in response to many thousands of natural scenes, and...
4.
St-Yves G, Naselaris T
Conf Proc IEEE Int Conf Syst Man Cybern
. 2023 Jun;
2018:1054-1061.
PMID: 37333993
We consider the inference problem of reconstructing a visual stimulus from brain activity measurements (e.g. fMRI) that encode this stimulus. Recovering a complete image is complicated by the fact that...
5.
St-Yves G, Allen E, Wu Y, Kay K, Naselaris T
Nat Commun
. 2023 Jun;
14(1):3329.
PMID: 37286563
Deep neural networks (DNNs) optimized for visual tasks learn representations that align layer depth with the hierarchy of visual areas in the primate brain. One interpretation of this finding is...
6.
Kneeland R, Ojeda J, St-Yves G, Naselaris T
ArXiv
. 2023 May;
PMID: 37205268
Visual reconstruction algorithms are an interpretive tool that map brain activity to pixels. Past reconstruction algorithms employed brute-force search through a massive library to select candidate images that, when passed...
7.
Gu Z, Jamison K, Khosla M, Allen E, Wu Y, St-Yves G, et al.
Neuroimage
. 2021 Dec;
247:118812.
PMID: 34936922
Functional MRI (fMRI) is a powerful technique that has allowed us to characterize visual cortex responses to stimuli, yet such experiments are by nature constructed based on a priori hypotheses,...
8.
Allen E, St-Yves G, Wu Y, Breedlove J, Prince J, Dowdle L, et al.
Nat Neurosci
. 2021 Dec;
25(1):116-126.
PMID: 34916659
Extensive sampling of neural activity during rich cognitive phenomena is critical for robust understanding of brain function. Here we present the Natural Scenes Dataset (NSD), in which high-resolution functional magnetic...
9.
Mell M, St-Yves G, Naselaris T
Neuroimage
. 2021 Jun;
238:118266.
PMID: 34129949
Encoding models based on deep convolutional neural networks (DCNN) predict BOLD responses to natural scenes in the human visual system more accurately than many other currently available models. However, DCNN-based...
10.
Breedlove J, St-Yves G, Olman C, Naselaris T
Curr Biol
. 2020 May;
30(12):2211-2224.e6.
PMID: 32359428
The relationship between mental imagery and vision is a long-standing problem in neuroscience. Currently, it is not known whether differences between the activity evoked during vision and reinstated during imagery...