I build mathematical and computational models of neural
processing, with a particular emphasis on representation and
learning. The main focus is on reinforcement learning and unsupervised
learning, covering the ways that animals come to choose appropriate
actions in the face of rewards and punishments, and the ways and goals
of the process by which they come to form neural representations of
the world. The models are informed and constrained by neurobiological,
psychological and ethological data.