Use computer simulation and modelling techniques to investigate the behaviour of neurons, and networks of neurons. Understanding the brain, and natural perceptual systems work can suggest novel computational architectures and techniques. Our understanding of sensory and cognitive processing - a computational understanding of how people perform cognitive tasks, is just starting to develop. However, even overly simple models of natural systems can inform the development of useful artefacts that provide artificial implementations of natural competences, such as pattern recognition, speech synthesis, or mathematical reasoning. Artificial neural network technology, for example, has become a commonplace tool for learning computational models of naturally occurring data.
Information is fundamental to community, as well as to communication, computation and cognition.
Technological progress is economically driven, but also depends on continuing scientific development. In turn, technological progress prompts scientific enquiry. The University has a long tradition of leadership and excellence in many areas that contribute to this new perspective. It has taken a first step in addressing the potential for synergy between these areas by bringing several erstwhile departments together within the Division of Informatics. The Division has developed real strength, momentum and international stature, notwithstanding the geographical separation of its component parts.