Neural & Behavioral Basis of Artificial Grammar Learning

神经

• 批准号: 6552252
• 负责人: GRACE Y CHANG
• 金额: $ 2.5万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-03-20 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/6552252
• 关键词: Parkinson's disease; behavioral /social science research tag; caudate nucleus; clinical research; computer program /software; hippocampus; human subject; learning; magnetic resonance imaging; neural information processing; neuropsychological tests; neuropsychology; predoctoral investigator; stimulus /response

DESCRIPTION (provided by applicant): This project investigates the neural bases of abstract rule learning and exemplar-specific learning in the Artificial Grammar (AG) learning task. It is hypothesized that the caudate is involved in abstract rule learning and the hippocampus is involved in exemplar-specific learning. This project will also examine whether the AG task is an implicit or explicit learning task. Although it is typically characterized as an implicit task, there is both neural and behavioral evidence that suggests that some of the learning acquired may be acquired explicitly. Finally, the project will examine the performance of Parkinson's Disease patients on this learning task. Because of the specific methodological design used, their ability to learn abstract rules and to use exemplar-specific information can be independently examined. Together, these experiments will contribute to our fundamental knowledge of learning, and this knowledge should, in turn, be used to further the development of treatments and diagnostic tests for patient populations.

描述（由申请人提供）：该项目研究了人工语法（AG）学习任务中抽象规则学习和特定样本学习的神经基础。推测尾状核参与抽象规则学习，海马参与样例特异性学习。本研究也将探讨AG任务是内隐还是外显学习任务。虽然它通常被描述为内隐任务，但有神经和行为证据表明，一些获得的学习可能是明确获得的。最后，该项目将检查帕金森病患者在这项学习任务中的表现。由于所使用的具体方法设计，他们学习抽象规则和使用范例特定信息的能力可以独立检查。总之，这些实验将有助于我们学习的基本知识，而这些知识反过来又应该用于进一步开发针对患者群体的治疗和诊断测试。