We study learning in brains and machines.
Brains develop and change following experience. Using a wide variety of neurobiological data from electrophysiology to in-situ hybridization and RNA sequencing, we quantify how plasticity is implemented in neural tissues.
To teach machines from examples, we develop algorithms to represent complex signals in meaningful way and learn effectively at large scale. We teach our machines to recognize sounds and images in videos, especially in complex scenes and with few samples