B.Sc.Ed. Chemistry, Botany and Zoology --Regional College of Education, National Council of Educational Resch and Training, Mysore, India --1984
M.S. Molecular Biology --University of Rochester, Rochester, NY --1988
Ph.D. Molecular Biology --University of Rochester, Rochester, NY --1993
Bio >>> Dr. Hegdé is an expert in primate visual neuroscience and electrophysiological recording techniques in awake subjects. His particular niche is computational vision perspective and human functional magnetic resonance imaging (fMRI). He studies the relationship between neural activity and object perception. His expertise in understanding normal vision processing could be extremely valuable for analyzing the effects of treatments on visual function in patients administered various therapeutic regimens. Dr. Hegdé's lab is interested in perception as statistical inference. The outside world is more complex, ambiguous and noisy than we generally realize and the brain cannot afford to construct an internal replica of the external world we perceive. Instead, brain has to 'make do' with the available ambiguous information. The laboratory uses a variety of advanced research methods, including multi-electrode recording and microstimulation in awake, behaving monkeys, functional magnetic resonance imaging (fMRI) in humans and monkeys, psychophysics in humans and monkeys, and computer modeling. They are engaged in translational research that seeks to devise new ways of rehabilitating patients with various neuro-ophthalmological impairments. Dr. Hegdé's laboratory offers an excellent opportunity to learn a diverse set of advanced research methodologies while addressing many questions in the forefront of Systems Neuroscience. Dr. Hegdé is mentoring post-doctoral fellows and undergraduate students in his laboratory; he is an active participant in the VDI group meetings and seminars as well as its formal courses. Recently, he and colleagues Drs. Saul and Yang developed a Visual Neuroscience course that offers students fundamental information in this field.