Kendrick Kay
Kendrick Kay
Assistant Professor, University of Minnesota
Verified email at - Homepage
Cited by
Cited by
Identifying natural images from human brain activity
KN Kay, T Naselaris, RJ Prenger, JL Gallant
Nature 452 (7185), 352-355, 2008
Encoding and decoding in fMRI
T Naselaris, KN Kay, S Nishimoto, JL Gallant
Neuroimage 56 (2), 400-410, 2011
Bayesian reconstruction of natural images from human brain activity
T Naselaris, RJ Prenger, KN Kay, M Oliver, JL Gallant
Neuron 63 (6), 902-915, 2009
Quantifying the local tissue volume and composition in individual brains with magnetic resonance imaging
A Mezer, JD Yeatman, N Stikov, KN Kay, NJ Cho, RF Dougherty, ML Perry, ...
Nature medicine 19 (12), 1667-1672, 2013
Evaluation and statistical inference for human connectomes
F Pestilli, JD Yeatman, A Rokem, KN Kay, BA Wandell
Nature methods 11 (10), 1058-1063, 2014
Compressive spatial summation in human visual cortex
KN Kay, J Winawer, A Mezer, BA Wandell
Journal of neurophysiology 110 (2), 481-494, 2013
GLMdenoise: a fast, automated technique for denoising task-based fMRI data
K Kay, A Rokem, J Winawer, R Dougherty, B Wandell
Frontiers in neuroscience, 247, 2013
The functional neuroanatomy of human face perception
K Grill-Spector, KS Weiner, K Kay, J Gomez
Annual review of vision science 3, 167-196, 2017
Attention reduces spatial uncertainty in human ventral temporal cortex
KN Kay, KS Weiner, K Grill-Spector
Current Biology 25 (5), 595-600, 2015
Topographic organization in and near human visual area V4
KA Hansen, KN Kay, JL Gallant
Journal of Neuroscience 27 (44), 11896-11911, 2007
Asynchronous broadband signals are the principal source of the BOLD response in human visual cortex
J Winawer, KN Kay, BL Foster, AM Rauschecker, J Parvizi, BA Wandell
Current Biology 23 (13), 1145-1153, 2013
The Human Connectome Project 7 Tesla retinotopy dataset: Description and population receptive field analysis
NC Benson, KW Jamison, MJ Arcaro, AT Vu, MF Glasser, TS Coalson, ...
Journal of vision 18 (13), 23-23, 2018
Bottom-up and top-down computations in word-and face-selective cortex
KN Kay, JD Yeatman
elife 6, e22341, 2017
Reward motivation enhances task coding in frontoparietal cortex
JA Etzel, MW Cole, JM Zacks, KN Kay, TS Braver
Cerebral cortex 26 (4), 1647-1659, 2016
A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence
EJ Allen, G St-Yves, Y Wu, JL Breedlove, JS Prince, LT Dowdle, M Nau, ...
Nature neuroscience 25 (1), 116-126, 2022
Evaluating the accuracy of diffusion MRI models in white matter
A Rokem, JD Yeatman, F Pestilli, KN Kay, A Mezer, S Van Der Walt, ...
PloS one 10 (4), e0123272, 2015
Modeling low‐frequency fluctuation and hemodynamic response timecourse in event‐related fMRI
KN Kay, SV David, RJ Prenger, KA Hansen, JL Gallant
Human brain mapping 29 (2), 142-156, 2008
Resolving ambiguities of MVPA using explicit models of representation
T Naselaris, KN Kay
Trends in cognitive sciences 19 (10), 551-554, 2015
A two-stage cascade model of BOLD responses in human visual cortex
KN Kay, J Winawer, A Rokem, A Mezer, BA Wandell
PLoS computational biology 9 (5), e1003079, 2013
Fixed versus mixed RSA: Explaining visual representations by fixed and mixed feature sets from shallow and deep computational models
SM Khaligh-Razavi, L Henriksson, K Kay, N Kriegeskorte
Journal of Mathematical Psychology 76, 184-197, 2017
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