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Recent Publications
Vullings, C., Lively, Z., Verghese, P. (2022). Saccades during visual search in macular degeneration. Vision Research, 201. http://doi.org/10.1016/j.visres.2022.108113
Shanidze, N., Lively, Z., Lee, R., Verghese, P. (2022). Saccadic contributions to smooth pursuit in macular degeneration. Vision Research, 200, 108102. http://doi.org/10.1016/j.visres.2022.108102
Wong-Kee-You, A., Loveridge-Easther, C., Mueller, C., Gordon, N., Good, W. (2022). The impact of early exposure to general anesthesia on visual and neurocognitive development. Survey of Ophthalmology, 22. http://doi.org/doi: 10.1016/j.survophthal.2022.08.006
Lotze, A., Love, K., Velisar, A., Shanidze, N. (2022). A low-cost robotic oculomotor simulator for assessing eye tracking accuracy in health and disease. Behavior Research Methods. http://doi.org/10.3758/s13428-022-01938-w
Biggs, B., Toth, C., Stockman, T., Coughlan, J., Walker, B. (2022). Evaluation of a Non-Visual Auditory Choropleth and Travel Map Viewer. International Conference on Auditory Display (ICAD) 2022.
Hou, C., Nicholas, S. (2022). Perceptual learning with dichoptic attention tasks improves attentional modulation in V1 and IPS and reduces interocular suppression in human amblyopia. Scientific Reports, 12. http://doi.org/10.1038/s41598-022-13747-4
About SKERI
Our mission is to create a unique environment for research on human vision -- basic scientific research to increase the understanding of normal vision in support of vision disorders, clinical research to develop new diagnostic procedures and treatments for visual and other sensory disorders, and engineering research to produce better techniques for aid and rehabilitation of the blind and partially sighted.
Get Involved
If you are interested in vision science or want to learn more about low vision and blindness, there are many opportunities to get involved at The Smith-Kettlewell Eye Research Institute.
Upcoming Events
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Hybrid Colloquium: Developing Disability-First Datasets for Non-Visual Information Access
ColloquiumAbigale Stangl is a research scientist working at the intersection of human-computer interaction, accessibility, creativity, privacy, and computer vision