My research focuses on discovering the computational principles underlying the brain’s remarkable ability to learn, process and store information, and applying this knowledge to artificial intelligence and brain-computer interfaces. My lab uses a combination of theory, computer simulations, and collaborative neurobiological experiments to uncover the brain mechanisms of perception, learning, and action. Such an interdisciplinary approach has provided functional interpretations of otherwise puzzling neurobiological properties while at the same time suggesting biologically-inspired solutions to problems in artificial intelligence, robotics, and brain-computer interfacing.
Awards and Achievements
- Guggenheim Fellowship
- Fulbright Scholar Award
- NSF CAREER Award
- Office of Naval Research Young Investigator Award
- Sloan Faculty Fellowship
- Packard Fellowship for Science and Engineering