Associative learning and cognitive control

联想学习和认知控制

• 批准号: DP160102871
• 负责人: Prof Evan Livesey
• 金额: $ 27.69万
• 依托单位: The University of Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP160102871
• 关键词: Associative; learning; cognitive; control

The project intends to explore how accidents and errors in decision-making occur when people are operating on ‘auto-pilot’. Adapting our behaviour to changing environmental demands is fundamental to our survival. However, often it requires deliberate cognitive control to override previously learned, but no longer appropriate, associations between cues in the environment and our responses. This project plans to use manipulations of cognitive control over simple associative learning, in conjunction with neurophysiological investigations of neuronal excitability in motor cortex, to understand how well-learned responses are prepared in the presence of cues that signal those responses; how these responses are brought under cognitive control when response requirements change; and what happens to behaviour when that control is impaired. This knowledge may help us to design environments in which the probability of errors is minimised.

该项目旨在探索当人们在“自动驾驶仪”上操作时，决策中的事故和错误是如何发生的。使我们的行为适应不断变化的环境需求对我们的生存至关重要。然而，它通常需要刻意的认知控制来推翻以前学到的，但不再合适的，环境中的线索和我们的反应之间的关联。该项目计划使用简单联想学习的认知控制操作，结合对运动皮层神经元兴奋性的神经生理学研究，以了解在存在信号这些反应的线索的情况下，如何准备良好的学习反应;当反应要求改变时，这些反应如何受到认知控制;以及当控制受损时，行为会发生什么。这些知识可以帮助我们设计出错误概率最小的环境。