Kendrick Norris Kay, Ph.D.

2013-2015 Psychology Washington University, Saint Louis, St. Louis, MO 
 2015- Radiology University of Minnesota, Twin Cities, Minneapolis, MN 
visual system, fMRI, computational methods, neural network models
"Kendrick Kay"
Mean distance: 13.37 (cluster 29)


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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


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Ruyuan Zhang post-doc 2016- UMN
Emily J. Allen post-doc 2018- UMN
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Gu Z, Jamison KW, Khosla M, et al. (2021) NeuroGen: Activation optimized image synthesis for discovery neuroscience. Neuroimage. 247: 118812
Allen EJ, St-Yves G, Wu Y, et al. (2021) A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence. Nature Neuroscience
Allen EJ, Mesik J, Kay KN, et al. (2021) Distinct representations of tonotopy and pitch in human auditory cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Zhao YJ, Kay KN, Tian Y, et al. (2021) Sensory Recruitment Revisited: Ipsilateral V1 Involved in Visual Working Memory. Cerebral Cortex (New York, N.Y. : 1991)
Rokem A, Kay K. (2020) Fractional ridge regression: a fast, interpretable reparameterization of ridge regression. Gigascience. 9
Kay K, Jamison KW, Zhang RY, et al. (2020) A temporal decomposition method for identifying venous effects in task-based fMRI. Nature Methods
Zhang RY, Wei XX, Kay K. (2020) Understanding multivariate brain activity: Evaluating the effect of voxelwise noise correlations on population codes in functional magnetic resonance imaging. Plos Computational Biology. 16: e1008153
Zhang RY, Kay K. (2020) Flexible top-down modulation in human ventral temporal cortex. Neuroimage. 116964
Margalit E, Jamison KW, Weiner KS, et al. (2020) Ultra-high-resolution fMRI of human ventral temporal cortex reveals differential representation of categories and domains. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Zhou J, Benson NC, Kay K, et al. (2019) Predicting neuronal dynamics with a delayed gain control model. Plos Computational Biology. 15: e1007484
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