Neuroscience, Models, and Methods in Cognitive Aging

认知老化的神经科学、模型和方法

• 批准号: 6837309
• 负责人: MICHAEL J WENGER
• 金额: $ 1.5万
• 依托单位: UNIVERSITY OF NOTRE DAME
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-05-01 至 2005-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6837309
• 关键词: brain; cognition; mathematical model; meeting /conference /symposium; neural information processing; neurosciences; psychological aspect of aging; statistics /biometry; travel

DESCRIPTION (provided by applicant): Empirical research in gerontology, psychology, cognitive science, and cognitive neuroscience is increasingly calling upon both formal models of human information processing and sophisticated statistical methodologies in order to better understand the processes associated with changes (both normal and disease-related) in cognitive abilities across the lifespan. As both theory and methodology evolve, it becomes necessary not only to acquire specialized training in new statistical methodology and formal modeling techniques, but also to explore methods for connecting what otherwise might be distinct areas of expertise. The present proposal addresses this need by providing an opportunity for researchers interested in cognitive aging to gain experience with specialists whose work spans statistical methodologies, cognitive neuroscience, and formal models of cognition and brain states. To this end, this proposal covers the third year in a series of conferences and workshops that are held at the University of Notre Dame in which top scholars in quantitative methodology present a series of talks focused on either a central unifying methodological theme or targeted to a particular audience of substantive researchers. The proposed conference will include tutorial papers and structured consulting sessions that focus on statistical methods for evaluating data from studies of brain states, and formal methods of analyzing the structure, complexity, and predictions of formal models of cognitive processes. The intent is to provide participants with the ability to incorporate such techniques in their own research.

描述（由申请人提供）：老年学、心理学、认知科学和认知神经科学领域的实证研究越来越多地依赖人类信息处理的正式模型和复杂的统计方法，以便更好地理解与整个生命周期认知能力变化（正常和疾病相关）相关的过程。随着理论和方法的发展，不仅需要获得新统计方法和形式建模技术的专门培训，而且还需要探索连接不同专业领域的方法。目前的提案通过为对认知衰老感兴趣的研究人员提供一个机会来满足这一需求，让他们与那些工作涵盖统计方法、认知神经科学以及认知和大脑状态的正式模型的专家一起获得经验。为此，该提案涵盖了在圣母大学举办的一系列会议和研讨会的第三年，在这些会议和研讨会上，定量方法论领域的顶尖学者提出了一系列演讲，重点关注统一的中心方法论主题或针对实质性研究人员的特定受众。拟议的会议将包括教程论文和结构化咨询会议，重点关注评估大脑状态研究数据的统计方法，以及分析认知过程正式模型的结构、复杂性和预测的正式方法。目的是让参与者能够将这些技术融入到他们自己的研究中。