Thomas Naselaris

According to our database, Thomas Naselaris authored at least 17 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data.

Paul S. Scotti, Mihir Tripathy, Cesar Kadir Torrico Villanueva, Reese Kneeland, Tong Chen, Ashutosh Narang, Charan Santhirasegaran, Jonathan Xu, Thomas Naselaris, Kenneth A. Norman, Tanishq Mathew Abraham

CoRR, 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 Stachenfeld, Zenna Tavares, Doris Tsao, Ilker Yildirim, Nikolaus Kriegeskorte

CoRR, 2024

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., December, 2023

Brain-optimized inference improves reconstructions of fMRI brain activity.

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

Reconstructing seen images from human brain activity via guided stochastic search.

Reese Kneeland, Jordyn Ojeda, Ghislain St-Yves, Thomas Naselaris

CoRR, 2023

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

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

2021

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, Thomas Naselaris, Kendrick N. Kay, Mert R. Sabuncu, Amy Kuceyeski

CoRR, 2021

2019

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

2018

The feature-weighted receptive field: an interpretable encoding model for complex feature spaces.

Ghislain St-Yves, Thomas Naselaris

NeuroImage, 2018

Generative Adversarial Networks Conditioned on Brain Activity Reconstruct Seen Images.

Ghislain St-Yves, Thomas Naselaris

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2015

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

2011

Encoding and decoding in fMRI.

Thomas Naselaris, Kendrick N. Kay, Shinji Nishimoto, Jack L. Gallant

NeuroImage, 2011

2009

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

Proceedings of the Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience, 2009

2008

Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images.

Pradeep Ravikumar, Vincent Q. Vu, Bin Yu, Thomas Naselaris, Kendrick N. Kay, Jack L. Gallant

Proceedings of the Advances in Neural Information Processing Systems 21, 2008