Kendrick Kay's page

I am a postdoctoral researcher at Stanford University under the direction of Professor Brian Wandell, investigating the computational capabilities of spiking neural networks. My research interests include shape representation in the visual system, functional magnetic resonance imaging, computational and theoretical neuroscience, statistical and machine learning methods, and brain-machine interfaces.

E-mail: kendrick@post.harvard.edu

Publications

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

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

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