Vikranth Rao Bejjanki
B.S., State University of New York at Buffalo; B.A
Psychology
Hamilton University
United States of America
Biography
Vik Bejjanki uses a range of methods, including psychophysics, computational modeling and functional neuroimaging to study learning at multiple levels of analysis. He researches the neural and computational mechanisms that allow humans to learn from their experiences. Bejjanki comes to Hamilton from Princeton University, where he was a postdoctoral researcher at the Princeton Neuroscience Institute. His published work can be found in Nature Neuroscience, Proceedings of the National Academy of Sciences, Neural Computation and the Journal of Vision. In his spare time, enjoys sports, particularly road cycling, tennis, golf, skiing and traveling. Bejjanki received a bachelor's of science degree in computer engineering and bachelor's of arts degree in cognitive science from the University at Buffalo. He earned his master's degree and doctorate in brain and cognitive sciences from the University of Rochester.
Research Interest
Human Neuropsychology; Psychology and Neuroscience of Learning and cognitive sciences etc.
Publications
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Beck J, Bejjanki VR, Pouget A (2011) Insights from a simple expression for linear Fischer information in a recurrently connected population of spiking neurons. Neural Computation 23: 1484-1502.
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Bejjanki VR, Zhang R, Li R, Pouget A, Green CS, et al. (2014). Action video game play facilitates the development of better perceptual templates. Processings of the National Academy of Sciences, 111: 16961-16966.
