I am a postdoctoral researcher at Stanford University under the direction of Professor Brian Wandell, investigating the computational properties of extrastriate cortex. My research interests include shape representation in the visual system, functional magnetic resonance imaging methods, computational and theoretical neuroscience, statistical and machine learning methods, and brain-machine interfaces.
Here is my CV.
Here is my blog on statistical analyses in MATLAB.
Teaching: Psych 216A: Statistics and data analysis in MATLAB
E-mail: kendrick@post.harvard.edu
Publications in progress
GLMdenoise: A fast, automated technique for denoising task-based fMRI data. (under review).
Kay, K.N., Rokem, A., Winawer, J., & Wandell, B.A.
Publications
Asynchronous broadband signals are the principal source of the BOLD response in human visual cortex Current Biology (in press).
Winawer, J., Kay, K.N., Foster, B., Rauschecker, A., Parvizi, J., & Wandell, B.A.
A Two-Stage Cascade Model of BOLD Responses in Human Visual Cortex. PLoS Computational Biology (in press).
Kay, K.N., Winawer, J., Rokem, A., Mezer, A., & Wandell, B.A.
Compressive spatial summation in human visual cortex. Journal of Neurophysiology (in press).
Kay, K.N., Winawer, J., Mezer, A., & Wandell, B.A.
Measuring within the voxel: brain macromolecular tissue volume in individual subjects. Nature Medicine (in press).
Mezer, A.A., Yeatman, J., Stikov, N., Kay, K.N., Cho, N-J., Dougherty, R.F., Perry, M.L., Parvizi, J., Hua, L.H., Butts-Pauly, K., & Wandell, B.A.
Understanding visual representation by developing receptive-field models. In: Visual Population Codes: Towards a Common Multivariate Framework for Cell Recording and Functional Imaging, edited by N. Kriegeskorte & G. Kreiman (2011).
Kay, K.N.
Book link
Encoding and decoding V1 fMRI responses to natural images with sparse nonparametric models. Annals of Applied Statistics (2011).
Vu, V.Q., Ravikumar, P., Naselaris, T., Kay, K.N., Gallant, J.L. & Yu, B.
Pubmed link | Journal link | PDF
Encoding and decoding in fMRI. NeuroImage (2011).
Naselaris, T., Kay, K.N., Nishimoto, S. & Gallant, J.L.
Pubmed link | Journal link | PDF
Bayesian reconstruction of natural images from human brain activity. Neuron (2009).
Naselaris, T., Prenger, R.J., Kay, K.N., Oliver, M. & Gallant, J.L.
Pubmed link | Journal link | PDF (Main text) | PDF (Supplementary Information)
I can see what you see. Nature Neuroscience (2009).
Kay, K.N. & Gallant, J.L.
Pubmed link | Journal link | PDF
This is commentary on:
Visual image reconstruction from human brain activity using a combination of multiscale local image decoders. Neuron (2008). Miyawaki, Y., Uchida, H., Yamashita, O., Sato, M.A., Morito, Y., Tanabe, H.C., Sadato, N. & Kamitani, Y.
Pubmed link | Journal link | PDF
Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images. In: Advances in Neural Information Processing Systems 21, edited by D. Koller, D. Schuurmans, Y. Bengio, & L. Bottou (2009).
Ravikumar, P., Vu, V.Q., Yu, B., Naselaris, T., Kay, K.N. & Gallant, J.L. Book link | PDF
Identifying natural images from human brain activity. Nature (2008).
Kay, K.N., Naselaris, T., Prenger, R.J.
& Gallant, J.L. Pubmed link | Journal link | PDF (Main text) | PDF (Supplementary Information)
See commentary:
What's in your mind. Nature Neuroscience (2008). Wandell, B.A.
Pubmed link | Journal link | PDF
Modeling low-frequency fluctuation and
hemodynamic response timecourse in event-related fMRI. Human Brain Mapping (2008).
Kay, K.N., David, S.V., Prenger, R.J.,
Hansen, K.A. & Gallant, J.L. Pubmed link | Journal link | PDF
Topographic organization in and near human visual area V4. The Journal of Neuroscience (2007). Hansen, K.A., Kay, K.N. & Gallant, J.L. Pubmed link | Journal link | PDF
Invited Talks
2013-05, MRC Cognition and Brain Sciences Unit GLMdenoise: a fast, automated technique for denoising task-based fMRI data
2013-04, MRC Cognition and Brain Sciences Unit
A two-stage cascade model of BOLD responses in human visual cortex
2008-11, Dartmouth, Psychology and
Brain Sciences Using
computational models of voxels to identify images seen by an observer
2008-11, Guest Lecture for Math
126 at Dartmouth Building
computational models of V1 voxels & Mathematical details of estimating receptive-field models
2008-03, Cosyne (Computational and
Systems Neuroscience) Workshops Using
voxel receptive field models to identify natural images seen by an observer
2007-12, UC-Berkeley Brain Imaging
Center Research Day Building
a general decoder for human visual cortex
Talks/Poster
Presentations
2012-02, Cosyne (Computational and Systems Neuroscience) Compressive spatial summation: a characteristic of extrastriate computation
2011-11, SFN (Society for
Neuroscience) Compressive spatial summation improves models of extrastriate responses
2011-05, VSS (Vision Sciences Society) Spatial saturation in human visual cortex
2007-11, SFN (Society for
Neuroscience) Decoding human
visual cortical activity evoked by novel natural images
2007-09, UC-Berkeley Neuroscience
Research Conference and Retreat Estimation of
voxel receptive fields in human visual cortex using natural images
2007-08, BAVRD (Bay Area Vision
Research Day) Building a
general decoder for human visual cortex
2007-05, VSS (Vision Sciences
Society) Estimation of
voxel receptive fields in human visual cortex using natural images
2006-11, UC-Berkeley Neuroscience
Research Conference and Retreat Investigating
shape representation in human visual cortex using fMRI
2005-11, SFN (Society for
Neuroscience) Artifacts in phase-encoded
fMRI retinotopic mapping
2004-12, UC-Berkeley Brain Imaging
Center Research Day Artifacts in
standard fMRI retinotopic mapping
Education and
Professional History
2003–2009, University of
California, Berkeley, Ph.D. in Psychology
1998–2002, Harvard
University, A.B. in Philosophy, magna cum laude
Awards
2003, National Defense Science and
Engineering Graduate Fellowship |