Thomas Naselaris

University of Minnesota — United States

Neuroscience · Life Sciences

27h-index7.6kcitations87works1.82yr avg
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Research Topics

Neural dynamics and brain function(50), Face Recognition and Perception(32), Visual perception and processing mechanisms(28), Functional Brain Connectivity Studies(19), Visual Attention and Saliency Detection(10)

Publications87 total

A 7T fMRI dataset of synthetic images for out-of-distribution modeling of vision.
PubMed·2025
Variation in the geometry of concept manifolds across human visual cortex
PLoS Computational Biology·2025· 2 citedOpen Access
A transformation from vision to imagery in the human brain
2025Open Access
Disentangling signal and noise in neural responses through generative modeling
PLoS Computational Biology·2025· 1 citedOpen Access
Variation in the geometry of concept manifolds across human visual cortex
2024· 1 citedOpen Access
Dynamic functional connectivity via iEEG - fMRI correlation maps
Journal of Vision·2024Open Access
Disentangling signal and noise in neural responses through generative modeling
2024· 5 citedOpen Access
MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data
arXiv (Cornell University)·2024· 5 citedOpen Access
Better models of human high-level visual cortex emerge from natural language supervision with a large and diverse dataset
Nature Machine Intelligence·2023· 82 cited
Why is the human visual system generative?
Journal of Vision·2023Open Access
Brain-optimized models reveal increase in few-shot concept learning accuracy across human visual cortex
Journal of Vision·2023Open Access
Evidence that noise in human visual cortex encodes naturalistic visual representations
Journal of Vision·2023Open Access
Characterizing and decoding visual percepts of real objects in a blind individual using fMRI
Journal of Vision·2023Open Access
Re-expression of CA1 and entorhinal activity patterns preserves temporal context memory at long timescales
Nature Communications·2023· 18 citedOpen Access
Brain-optimized deep neural network models of human visual areas learn non-hierarchical representations
Nature Communications·2023· 44 citedOpen Access
Second Sight: Using brain-optimized encoding models to align image distributions with human brain activity.
PubMed·2023Open Access
Reconstructing seen images from human brain activity via guided stochastic search
arXiv (Cornell University)·2023Open Access
Stacked regressions and structured variance partitioning for interpretable brain maps
2023· 1 citedOpen Access
Reconstructing seen images from human brain activity via guided stochastic search
2023· 1 citedOpen Access
Do better models of fMRI visual response better predict mental imagery responses?
2023Open Access
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Frequent Co-authors

Kendrick Kay(24), Jack L. Gallant(11), Emily Allen(11), Ghislain St-Yves(10), Yihan Wu(10), Apostolos P. Georgopoulos(6), Hugo Merchant(6), Jesse Breedlove(5), Ian Charest(5), Cheryl A. Olman(4), Dustin Stansbury(4), Leonardo Bonilha(4), Ryan Prenger(3), Shinji Nishimoto(3), Logan T. Dowdle(3), Ben Hutchinson(3), Bagrat Amirikian(3), An T. Vu(2), Michael Oliver(2), Jacob S. Prince(2)