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

了解涉及注意力和决策的基本认知过程是许多学科的国际研究努力的目标。这种理解的好处包括改善各种认知缺陷的诊断和治疗，提高与复杂系统（如空中交通管制、航空公司驾驶舱、机动车辆和流程管理）相互作用的环境中的职业安全和效率。通过发展这些过程的数学模型和它们背后的神经机制，这个项目将有助于这种理解。它还将为澳大利亚培养的博士毕业生提供国际博士后机会。

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.