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Vikranth Rao Bejjanki


Vikranth Rao Bejjanki
Vikranth Rao Bejjanki

Assistant Professor of Psychology

Taylor Science Center 3058
315-859-4973

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.

Recent Courses Taught

Human Neuropsychology
Psychology and Neuroscience of Learning

Select Publications

  • Bejjanki, V. R., Zhang, R., Li, R., Pouget, A., Green, C. S., Lu, Z-L., Bavelier, D. (2014). Action video game play facilitates the development of better perceptual templates. Processings of the National Academy of Sciences, 111(47), 16961-16966.
  • Bejjanki, V. R., Beck, J. M., Lu Z-L., Pouget A. (2011). Perceptual learning as improved probabilistic inference in early sensory areas. Nature Neuroscience, 14, 642-648.
  • Bejjanki, V. R., Clayards, M., Knill, D. C., Aslin, R. N., (2011). Cue integration in categorical tasks: insights from audio-visual speech perception. PLoS ONE 6, e19812.
  • Beck, J., Bejjanki, V. R., 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.
  • Anstey J., Pape D., Shapiro, S. C., Rao V. (2003). Virtual drama with intelligent agents. Proceedings of the Ninth International Conference in Virtual Systems and Multimedia (VSMM). Montreal, Canada. 
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  • Bejjanki, V. R., Turk-Browne N. B. (2014). Background connectivity in human visual cortex during perceptual learning. Poster at the Society for Neuroscience (SfN) meeting, Washington D.C.
  • Bejjanki, V. R., Knill, D. C., Aslin, R. N. (2013). Learning and optimal inference in a novel spatial localization task. Poster at the Vision Sciences Society (VSS) meeting, Naples, FL. 
  • Bejjanki, V. R., Sims, C. R., Green, C. S., Bavelier, D., (2012). Evidence for action video game induced 'learning to learn' in a perceptual decision making task. Talk at the Vision Sciences Society (VSS) meeting, Naples, FL.
  • Zhang, R., Bejjanki, V. R., Lu, Z. L., Green, C. S., Pouget, A., Bavelier, D., (2012). Action video game playing improves learning to learn in perceptual learning. Poster at the Vision Sciences Society (VSS) meeting, Naples, FL. 
  • Bejjanki, V. R., Beck, J. M., Pouget, A. (2012). Attention, information, normalization and correlations. Poster at the Computational and Systems Neuroscience (CoSyNe) conference, Salt Lake City, UT.

Professional Affiliations

Society for Neuroscience
Vision Sciences Society
American Association for the Advancement of Science

Appointed to the Faculty: 2016

Educational Background

Ph. D., University of Rochester
M.A., University of Rochester
B.A., State University of New York at Buffalo
B.S., State University of New York at Buffalo

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