Vijay Balasubramanian

is interested in the principles underlying computation and communication in the brain. His lab uses computational and theoretical methods in conjunction with multi-electrode array experiments that probe retinal function. His recent work has focused on the early visual system, and 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. He has also worked on optimization principles in neurobiology such as maximization of information transmission at fixed metabolic cost, and on problems in statistical inference. He is currently interested in adaptation and learning in biological networks. ➤