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

用于选择性注意和决策的随机、神经合理模型

• 批准号: DP0558761
• 负责人: Prof Philip Smith
• 金额: $ 12.5万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2005
• 资助国家: 澳大利亚
• 起止时间: 2005-01-01 至 2009-06-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0558761
• 关键词: Stochastic; Neurally; Plausible; Models; Selective

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.

了解注意力和决策所涉及的基本认知过程是许多学科的国际研究工作的目标。这种理解的预期好处包括改善各种认知缺陷的诊断和治疗，以及提高涉及与复杂系统（例如空中交通管制、航空公司驾驶舱、机动车辆和流程管理）交互的环境中的职业安全和效率。通过开发这些过程的数学模型以及它们背后的神经机制，该项目将有助于这种理解。它还将为澳大利亚培养的博士提供国际博士后机会。毕业生。