Univerity Lecturer in AI and Neuroscience
Academic Division: Information Engineering
Research group: Computational and Biological Learning
Our broad interest is in understanding how large networks of neurons, such as those in the cerebral cortex, process sensory inputs and give rise to our perception and higher-level cognitive functions through their collective dynamics and learning on multiple time scales. To shed light on the complexity of neurobiological phenomena we use simplifed mathematical models that capture core mechanistic features of the circuit and connect them to its computational goals. We use techniques from dynamical systems, statistical physics, machine learning and information theory. A second line of interest is development of new statistical and computational tools for analyzing large, high-dimensional neural and behavioral datasets. We also collaborate with different experimental labs.
Department role and responsibilities