Richard Clarke

Awarded VEIV EngD

My work is concerned with the understanding (and subsequent computational modelling) of how neural systems use available visual data to learn about, and behave towards, their environment in a successful way. The intention is to use a biological system's (a bee's) performance on a set of specific tasks in specific visual ecologies (i.e. where the data available is known and strictly controlled) as a fitness environment in which to evolve different functional abilities of an AVA, in other words to direct the evolution of the AVAs towards the performance of a biological system that has already solved many complex visual problems.

Primary Supervisor: Anthony Steed

Industry Sponsor: BT Exact - Media Interfaces Lab

Computation of visual ecologies