My research interests are primarily in the fields of connectionist modelling and evolutionary computation. Major projects in recent years have involved models of brain damage (connectionist neuropsychology), language processing (reading, spelling, past tense production, lexical decision), adaptive control (particularly oculomotor control), the optimization of neural information processing architectures (including the emergence of modularity), and the formulation of more biologically realistic evolutionary computation algorithms. Recently I have been mainly working on simulating the evolution of neural systems: exploring the emergence of modularity, the optimization of learning algorithms, critical periods for learning, the interaction of learning and evolution, and aspects of life history evolution. I also have an ongoing interest in corpus derived semantic representations.

• 20416 - Neural Computation
• 12412 - Introduction to Neural Computation
• 22754 - LC Foundations of Computer Science