The goal of our lab is to understand how the human brain represents visual images and makes perceptual decisions about these images. We use a combined experimental and computational approach that seeks to develop models that characterize the stimulus transformations perfomed by the brain. Our primary measurement technique is functional magnetic resonance imaging (fMRI), which is ideally suited to identify these transformations, given its excellent spatial resolution and ability to monitor activity across the numerous areas of visual cortex. Recent increases in magnetic field strength (10.5T) are expected to provide substantial gains in spatial resolution and signal-to-noise ratio, enabling the acquisition of large, high-quality datasets that can be used to resolve functional differences across cortical layers and columns. In the spirit of reproducible research, we make freely available tools and resources (e.g. experiments, data, code) developed in the course of our research.
(For a comprehensive list of recent publications, refer to PubMed, a service provided by the National Library of Medicine.)
Naselaris, T. & Kay, K.N. Resolving ambiguities of MVPA using explicit models of representation. Trends in Cognitive Sciences (2015). PMID: 26412094.
Kay, K.N., Weiner, K.S., & Grill-Spector, K. Attention reduces spatial uncertainty in human ventral temporal cortex. Current Biology (2015). PMID: 25702580.
Kay, K.N., Rokem, A., Winawer, J., Dougherty, R.F., & Wandell, B.A. GLMdenoise: a fast, automated technique for denoising task-based fMRI data. Frontiers in Neuroscience 7 (2013). PMID: 24381539.
Kay, K.N., Winawer, J., Rokem, A., Mezer, A., & Wandell, B.A. A Two-Stage Cascade Model of BOLD Responses in Human Visual Cortex. PLoS Computational Biology 9(5), 1–16 (2013). PMID: 23737741.
Kay, K.N., Winawer, J., Mezer, A., & Wandell, B.A. Compressive spatial summation in human visual cortex. Journal of Neurophysiology 110(2), 481–493 (2013). PMID: 23615546.
Naselaris, T., Kay, K.N., Nishimoto, S., & Gallant, J.L. Encoding and decoding in fMRI. NeuroImage 56, 400–410 (2011). PMID: 20691790.
Naselaris, T., Prenger, R.J., Kay, K.N., Oliver, M., & Gallant, J.L. Bayesian reconstruction of natural images from human brain activity. Neuron 63, 902–915 (2009). PMID: 19778517.
Kay, K.N., Naselaris, T., Prenger, R.J., & Gallant, J.L. Identifying natural images from human brain activity. Nature 452, 352–355 (2008). PMID: 18322462.
Hansen, K.A., Kay, K.N., & Gallant, J.L. Topographic organization in and near human visual area V4. J. Neurosci. 27, 11896–11911 (2007). PMID: 17978030.