Keith Schneider

photo of Professor Keith SchneiderPhD (Rochester)
Associate Professor
Research areas:  Neuroscience

Research Focus

My research interest is the relationship between the architecture of the human visual system and the functions of attention, perception and awareness, both in normal and clinical populations. We have been studying the thalamus, including the lateral and medial geniculate nuclei, pulvinar and thalamic reticular nucleus, and midbrain using visual and auditory paradigms. Multiple streams of information arise from distinct ganglion cell populations in the retina; the subcortical nuclei play central roles in the recurrent regulation of visual function, and here, like nowhere else in the brain, these visual streams are spatially disjoint and their activity can be measured with high-resolution functional magnetic resonance imaging. Abnormalities in these structures may be important in clinical disorders such as dyslexia and albinism.

Representative publications:

McKetton L, Williams J, Viviano JD, Yücel YH, Gupta N, Schneider KA. 2015. High resolution structural magnetic resonance imaging of the human subcortex in vivo and postmortem. Journal of Visualized Experiments 106: e53309.

DeSimone K, Viviano JD, Schneider KA. 2015. Population receptive field analysis reveals new retinotopic maps in the human subcortex. Journal of Neuroscience 35: 9836–9847.

Giraldo-Chica M, Hegarty JP, Schneider KA. 2015. Morphological differences in the lateral geniculate nucleus associated with dyslexia. NeuroImage: Clinical 7: 830–836.

Viviano JD, Schneider KA. 2015. Interactions of the human thalamic reticular nucleus. Journal of Neuroscience 35: 2026–2032.

McKetton L, Kelly KR, Schneider KA. 2014. Abnormal lateral geniculate nucleus and optic chiasm in human albinism. Journal of Comparative Neurology 522: 2680–2687.

Schneider KA. 2011. Attention alters decision criteria but not appearance: A reanalysis of Anton-Erxleben, Abrams & Carrasco (2010). Journal of Vision 11(13):7, 1–8.

Schneider KA. 2011. Subcortical mechanisms of feature-based attention. Journal of Neuroscience 31: 8643–8653.