Cherlyn Ng was born and raised in Singapore, where she went on to earn her BSc in neuroscience and PhD in x-ray crystallography from the National University of Singapore. Drawing upon her earlier experiences with audio/visual production, she received postdoctoral training in computational modeling, psychophysics and developed a deep interest in visual perception. Her current interests focuses on how the brain processes and represents sensory information, with particular emphasis on binocular vision. However, traditional psychophysics does not distinguish between percepts that arise from neural mechanisms and visual limitations that are caused by the imperfect optics of the eyes. She addresses this conundrum by coupling psychophysics with adaptive optics technology. This method removes optical limitations by correcting for the optical aberrations in the eyes so that percepts brought about by the neural mechanisms can be measured in isolation. These measurements serve the eventual purpose of building a unified model that explains how the brain chooses between selecting and balancing information from the two eyes.
I am an assistant professor of vision science at the University of Houston College of Optometry. I received a Master’s Degree in Experimental Psychology from the University of Helsinki, and Ph.D. in Neuroscience advised by Dr. Simo Vanni jointly from the University of Helsinki and the Low Temperature Laboratory of Helsinki University of Technology, Finland. I completed postdoctoral training at the Moran Eye Center of the University of Utah under the guidance of Dr. Alessandra Angelucci. My postdoctoral work with Dr. Angelucci elucidated the neural circuit basis of receptive fields of primary visual cortex neurons in non-human primates. Part of my NIH K99 training was completed under the guidance of Dr. John Reynolds at the Salk Institute for Biological Studies where I worked with awake, behaving marmoset monkeys. My laboratory utilizes electrophysiology, optogenetics, and behavioral techniques in awake and behaving marmosets to elucidate the roles of recurrent connections between cortical areas in visual computation and perception.