In Vision Computation Lab, we employ an interdisciplinary approach to integrate computational sciences and neuroscience, with the goal of solving similar problems in both fields through a concerted effort on two fronts:
Neural coding and computation in biological vision: We aim to understand how our visual system represents the dynamic visual world (neural encoding) and how the perceptually and behaviorally relevant visual information can be read out from the responses of visual neurons (neural decoding). We use tools from signal processing, computational modeling, statistics, machine learning, and information theory for developing these encoding and decoding frameworks.
Computational algorithms for artificial vision applications: We aim to translate and apply our findings about the neural computations underpinning the brain's visual and visuomotor functions to design next-generation visual brain-machine interface and biomedical devices that are able to emulate or restore the brain's visual functions rivaling our natural visual perception and behavior.
Research in our lab is supported by the National Institutes of Health (NIH), the National Science Foundation (NSF) and the National Aeronautics and Space Administration (NASA).
Our group belongs to University of Utah’s Department of Electrical and Computer Engineering in the School of Engineering, and the Department of Ophthalmology and Visual Science in the School of Medicine. We are located in the Moran Eye Center on U of U’s upper campus in Salt Lake City, Utah.