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Vijay Balasubramanian

investigates the principles underlying computation and communication in the brain.  He considers how large-scale functions and behaviors emerge from the collective activity of very large numbers of neurons of many functional types interacting in complex networks.  He uses theoretical and computational methods applied to data gathered from the labs of collaborators. His work on the early visual system has established that many aspects of the structural and functional organization of the retina can be understood as adaptations to the statistical structure of natural scenes subject to biophysical constraints.  His early work on statistical inference examined tradeoffs between the complexity and accuracy of models, and he now applies these ideas to both machine and animal learning. His current work in theoretical neuroscience addresses diverse functions of the brain including vision, olfaction, audition, spatial cognition, motor control, decision making and learning.   He is also working on immune systems in animals and bacteria (CRISPR) seen as an adaptive dynamical system for sensing and remembering pathogenic environments.  [Personal Website