Tomaso Poggio is one of the founders of computational neuroscience. He pioneered a model of the fly’s visual system as well as of human stereovision. His research has always been interdisciplinary, bridging brains and computers. It is now focused on the mathematics of deep learning and on the computational neuroscience of the visual cortex. Poggio also introduced using an approach called regularization theory to computational vision, made key contributions to the biophysics of computation and to learning theory, and developed an influential model of recognition in the visual cortex. Research in the Poggio lab is guided by the belief that understanding learning is at the heart of understanding both biological and artificial intelligence. Learning is therefore the route to understanding how the human brain works and for making intelligent machines.
Hierarchical models of object recognition in cortex. Riesenhuber, M., Poggio, T. (1999). Nature Neuroscience 2, 1019-1025.
A computational theory of human stereo vision. Marr, D., Poggio, T. (1979). Proceedings of the Royal Society of London – Biological Sciences 204, 301-328
Robust object recognition with cortex-like mechanisms. Serre, T., Wolf, L., Bileschi, S., Riesenhuber, M., Poggio, T. (2007). IEEE Transactions on Pattern Analysis and Machine Intelligence29, 411-426