We do cross-species investigations that try to investigate neural codes and mechanisms that underlie higher cognition. We are currently trying to understand how the brain stores information about relationships between things in the world. We find it useful to use mathematical and computational models to try to understand what coding principles are possible or likely, and we try to invent novel imaging approaches to measure them in humans. It is difficult to infer microscopic coding principles from coarse macroscopic data, so we often find ourselves retreating to non-human models to validate our conclusions. But it is important to be able to investigate neural coding principles in humans where behaviour is complex and subjects can perform naturally. It is also exciting to devise such approaches as it potentially allows clinical investigations in humans to specify questions at the level of mechanisms. Currently, a PhD in humans with me would likely involve performing brain imaging and computational experiments to understand how neuronal codes can simultaneously represent many relationships between objects and agents in our environment; and represent these in ways that allow efficient planning and acting in this environment. Students could also be co-supervised between myself and Steve Kennerley to investigate similar issues with electrophysiological recordings.