Stochastic, Neurally-Plausible Models for Selective Attention and Decision Making

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An understanding of the basic cognitive processes involved in attention and decision making is the goal of international research effort in a number of disciplines. The benefits expected from such understanding include improvements in the diagnosis and treatment of a variety of cognitive deficits and improved occupational safety and efficiency in settings involving interaction with complex systems, such air traffic control, airline cockpits, motor vehicles, and process management. By developing mathematical models of these processes and the neural mechanisms that underlie them, this project will contribute to this understanding. It will also provide international postdoctoral opportunties for Australian-trained Ph.D. graduates.