Kendrick Kay
 kendrick.kay@wustl.edu

I am a Visiting Scholar in the Psychology Department at Washington University in St. Louis. My primary research interest is using computational models to understand how visual images are processed and represented in human visual cortex. Besides vision, I am also interested in fMRI methods, statistics and machine learning, and high-performance computing.

Enter e-mail address to be notified of content updates:

Videos
    Vision Sciences Society 2014 Symposium:
        Understanding representation in visual cortex: why are there so many approaches and which is best?

Teaching
    Statistics and Data Analysis in MATLAB [Psych 5007]
    Blog on statistical analyses in MATLAB
    Cognitive neuroscience [Psych 3604] (Collection of demos and extra materials)

Code
    analyzePRF
    GLMdenoise
    Repository of MATLAB helper functions, including
        some useful code for fitting nonlinear models

Public data
    Retinotopic mapping (and pRF estimation) stimuli
    crcns.org fMRI natural image data set

Public data and code
    Models of BOLD responses in visual cortex (data and code)
    Denoise Benchmark for task-based fMRI

CV
    CV

Math, Statistics, and Computation Interest Group: This discussion group is intended for people interested in learning about computational methods relevant to psychology or neuroscience. Contact me if you are interested in participating.

Publications

Visual cortex

Computational modeling of responses in human visual cortex. In: Brain Mapping: An Encyclopedic Reference, edited by P. Thompson & K. Friston (in press).
     Wandell, B.A., Winawer, J., & Kay, K.N.
     PDF

Asynchronous broadband signals are the principal source of the BOLD response in human visual cortex. Current Biology (2013).
     Winawer, J., Kay, K.N., Foster, B.L., Rauschecker, A.M., Parvizi, J., & Wandell, B.A.
     Pubmed link | Journal link | PDF (Main text) | PDF (Supplemental Information)

A two-stage cascade model of BOLD responses in human visual cortex. PLoS Computational Biology (2013).
     Kay, K.N., Winawer, J., Rokem, A., Mezer, A., & Wandell, B.A.
     Pubmed link | Journal link | PDF

Compressive spatial summation in human visual cortex. Journal of Neurophysiology (2013).
     Kay, K.N., Winawer, J., Mezer, A., & Wandell, B.A.
     Pubmed link | Journal link | PDF (Main text) | PDF (Supporting Information)

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

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

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

Methods

GLMdenoise: a fast, automated technique for denoising task-based fMRI data. Frontiers in Neuroscience (2013).
     Kay, K.N., Rokem, A., Winawer, J., Dougherty, R.F. & Wandell, B.A.
     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

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
| 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

Other

Evaluation and statistical inference for living connectomes. Nature Methods (in press).
     Pestilli, F., Yeatman, J.D., Rokem, A., Kay, K.N., Wandell, B.A.

Haptic fMRI: Accurately Estimating Neural Responses in Motor, Pre-Motor, and Somatosensory Cortex During Complex Motor Tasks. IEEE EMBS (in press).
     Menon, S., Brantner, G., Aholt, C., Kay, K., & Khatib, O.

Quantifying the local tissue volume and composition in individual brains with magnetic resonance imaging. Nature Medicine (2013).
     Mezer, A., Yeatman, J.D., 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.
     Pubmed link | Journal link | PDF

Haptic fMRI: combining functional neuroimaging with haptics for studying the brain's motor control representation. IEEE EMBS (2013).
     Menon, S., Brantner, G., Aholt, C., Kay, K., & Khatib, O.
     Pubmed link | Journal link | PDF

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

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

Manuscripts in progress

Attention reduces spatial uncertainty in human ventral temporal cortex. (submitted).
     Kay, K.N., Weiner, K.S., & Grill-Spector, K.

A framework for evaluating the accuracy of diffusion models. (submitted).
     Rokem, A., Yeatman, J.D., Pestilli F., Kay K.N., Mezer, A., Van der Walt, S., & Wandell, B.A.

Intrinsic cortical dynamics dominate population responses to natural images across human visual cortex. (submitted).
     Henriksson, L., Khaligh-Razavi, S., Kay, K., Kriegeskorte, N.

Reward motivation enhances task coding in frontoparietal cortex. (submitted).
     Etzel, J.A., Cole, M.W., Zacks, J.M., Kay, K.N., Braver, T.S.

Statistical smoothing of fMRI data using fast Gaussian Processes regression. (in preparation).
     Gilboa, E., Strappini, F., Kay, K., Pitzalis, S., Cunningham, J.P., Nehorai, A., Shulman, G.L., Corbetta, M., Snyder, A.

Invited Talks

2014-05, Vision Sciences Society (Symposium)
     Identifying the nonlinearities used in extrastriate cortex

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

2014-05, VSS (Vision Sciences Society)
     Spatial receptive fields persist at the latest stages of the human ventral visual stream

2013-11, SFN (Society for Neuroscience)
     Mapping population receptive fields in face-selective regions of human visual cortex

2013-11, SFN (Society for Neuroscience)
     A two-stage cascade model of BOLD responses in human visual cortex

2013-06, HBM (Human Brain Mapping)
     GLMdenoise: a fast, automated technique for denoising task-based fMRI data

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