. His research has always been interdisciplinary, bridging brains and computer
on the mathematics of deep learning and on the computational neuroscience of the visual cortex
understanding learning is at the heart of understanding both biological and artificial intelligence. L
th understanding higher brain function, but also for mathematical and computational applications of statistical learning. In the theory domain,
Engineering applications in the lab include bioinformatics projects, computer vision for scene recognition, and trainable, man-machine interfaces
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