A model based approach to investigating short-term memory: exploiting response time distributions

基于模型的短期记忆研究方法：利用响应时间分布

• 批准号: DE130100129
• 负责人: A/Prof Chris Donkin
• 金额: $ 27.36万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2013
• 资助国家: 澳大利亚
• 起止时间: 2013-04-09 至 2017-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE130100129
• 关键词: model; based; approach; investigating; short

Working memory is one of the most fundamental and well studied aspects of human cognition. The project plans to develop and test a computational modelling framework into which fundamental theories of short-term memory can be placed. This unique approach will offer a deeper understanding of the underlying components of working memory.

工作记忆是人类认知的最基本和最好的研究方面之一。该项目计划开发和测试一个计算建模框架，其中可以放置短期记忆的基本理论。这种独特的方法将使我们更深入地了解工作记忆的基本组成部分。