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MEG研讨会

MEG Workshop
课程网址: https://ocw.mit.edu/courses/res-9-007-meg-workshop-spring-2019/  
主讲教师: Matti Hämäläinen
开课单位: 麻省理工学院
开课时间: 2019-01-01
课程语种: 英语
中文简介:
本系列帮助学习者通过源估计、解码和连接的视角来理解脑磁图 (MEG) 信号:原理、陷阱和观点。 在 MEG 的 50 年历史中,MEG 方法论方法取得了显着发展。广泛的来源估计工具即使在具有挑战性的情况下也可以定位大脑活动。大脑活动的模式分析可以通过揭示一个人所看到的、感知的、关注的或记住的内容来执行读心术的壮举。功能连接方法可以评估大规模大脑网络在认知功能中的作用。本次研讨会的目的是解构这些工具,概述挑战和局限性,并向新手研究人员演示 MEG 数据分析程序。 本次研讨会由大脑、思想和机器中心(CBMM)赞助,该中心是一个总部位于麻省理工学院的多机构NSF科学技术中心,致力于研究智能——大脑如何产生智能行为以及我们如何能够在机器中复制智能。
课程简介: This series helps learners understand magnetoencephalography (MEG) signals through the lens of source estimation, decoding, and connectivity: principles, pitfalls, and perspectives. MEG methodological approaches have grown remarkably during the 50-year history of MEG. A breadth of source estimation tools can localize brain activity even in challenging situations. Pattern analysis of brain activity can perform feats of mind reading by revealing what a person is seeing, perceiving, attending to, or remembering. Functional connectivity approaches can assess the role of large-scale brain networks in cognitive function. The aim of this workshop is to deconstruct these tools, overview the challenges and limitations, and demonstrate MEG data analysis procedures to a novice researcher. This workshop was sponsored by the Center for Brains, Minds, and Machines (CBMM), a multi-institutional NSF Science and Technology Center headquartered at MIT that is dedicated to the study of intelligence—how the brain produces intelligent behavior and how we may be able to replicate intelligence in machines.  
关 键 词: 机器中心; 智能行为; 大脑活动
课程来源: 麻省理工学院公开课
数据采集: 2024-03-23:chenjy
最后编审: 2024-03-23:chenjy
阅读次数: 31