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
Topographic organization in and near human visual area V4
KA Hansen, KN Kay, JL Gallant
Journal of Neuroscience 27 (44), 11896-11911, 2007
The functional neuroanatomy of human face perception
K Grill-Spector, KS Weiner, K Kay, J Gomez
Annual review of vision science 3, 167, 2017
Attention reduces spatial uncertainty in human ventral temporal cortex
KN Kay, KS Weiner, K Grill-Spector
Current Biology 25 (5), 595-600, 2015
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
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
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
Bottom-up and top-down computations in word-and face-selective cortex
KN Kay, JD Yeatman
elife 6, 2017
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
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
Resolving ambiguities of MVPA using explicit models of representation
T Naselaris, KN Kay
Trends in cognitive sciences 19 (10), 551-554, 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
I can see what you see
KN Kay, JL Gallant
Nature neuroscience 12 (3), 245-245, 2009
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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