Kendrick Norris Kay, Ph.D.
Affiliations: | 2013-2015 | Psychology | Washington University, Saint Louis, St. Louis, MO |
| 2015- | Radiology | University of Minnesota, Twin Cities, Minneapolis, MN |
Area:
visual system, fMRI, computational methods, neural network modelsWebsite:
http://cvnlab.netGoogle:
"Kendrick Kay"Mean distance: 13.37 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentor| Jack L. Gallant | grad student | 2003-2009 | UC Berkeley | |
| (The encoding of natural images in human visual cortex.) | ||||
| Brian A. Wandell | post-doc | 2009-2013 | Stanford | |
Children
Sign in to add trainee| Ruyuan Zhang | post-doc | 2016- | UMN |
| Emily J. Allen | post-doc | 2018- | UMN |
| Eline R. Kupers | post-doc | 2023- | UMN |
Collaborators
Sign in to add collaborator| Jan W Kurzawski | collaborator | UMN | |
| Franco Pestilli | collaborator | Indiana University Bloomington |
BETA: Related publications
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Publications
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| Lin R, Naselaris T, Kay K, et al. (2024) Stacked regressions and structured variance partitioning for interpretable brain maps. Neuroimage. 298: 120772 |
| Ye Z, Zhao Y, Allen EJ, et al. (2024) Temporal asymmetry of neural representations predicts memory decisions. Biorxiv : the Preprint Server For Biology |
| Lahner B, Dwivedi K, Iamshchinina P, et al. (2024) Modeling short visual events through the BOLD moments video fMRI dataset and metadata. Nature Communications. 15: 6241 |
| Zhu H, Ge Y, Bratch A, et al. (2024) Natural scenes reveal diverse representations of 2D and 3D body pose in the human brain. Proceedings of the National Academy of Sciences of the United States of America. 121: e2317707121 |
| Kay K, Prince JS, Gebhart T, et al. (2024) Disentangling signal and noise in neural responses through generative modeling. Biorxiv : the Preprint Server For Biology |
| Zou F, Wanjia G, Allen EJ, et al. (2023) Re-expression of CA1 and entorhinal activity patterns preserves temporal context memory at long timescales. Nature Communications. 14: 4350 |
| St-Yves G, Allen EJ, Wu Y, et al. (2023) Brain-optimized deep neural network models of human visual areas learn non-hierarchical representations. Nature Communications. 14: 3329 |
| Lin R, Naselaris T, Kay K, et al. (2023) Stacked regressions and structured variance partitioning for interpretable brain maps. Biorxiv : the Preprint Server For Biology |
| White AL, Kay KN, Tang KA, et al. (2023) Engaging in word recognition elicits highly specific modulations in visual cortex. Current Biology : Cb |
| Pennock IML, Racey C, Allen EJ, et al. (2022) Color-biased regions in the ventral visual pathway are food selective. Current Biology : Cb. 33: 134-146.e4 |