My research focuses on the computational challenge that one faces when trying to understand intelligent behavior in natural systems, or when one attempts to build artificial intelligence.
For instance, intelligent behavior is adaptive and changes on the basis of past seen data; it requires integration of sensory data with prior knowledge; and it must be robust to noise. These problems are fundamental and they occur in many intelligent tasks (cf. vision, motor control, memory, etc.). They are shared by natural and artificial intelligence. My general research goal is to provide theoretical insights, models and approaches that address these issues and is at the interface of machine learning and neuro-science.