使用显式表征模型解决多体素模式分析的模糊性
Resolving Ambiguities of MVPA Using Explicit Models of Representation.
作者信息
Naselaris Thomas, Kay Kendrick N
机构信息
Medical University of South Carolina, Charleston, SC, USA.
Washington University in St Louis, St Louis, MO, USA.
出版信息
Trends Cogn Sci. 2015 Oct;19(10):551-554. doi: 10.1016/j.tics.2015.07.005.
Abstract
We advocate a shift in emphasis within cognitive neuroscience from multivariate pattern analysis (MVPA) to the design and testing of explicit models of neural representation. With such models, it becomes possible to identify the specific representations encoded in patterns of brain activity and to map them across the brain.
摘要
我们主张认知神经科学内部的重点转移，从多变量模式分析（MVPA）转向神经表征显式模型的设计与测试。有了这样的模型，就有可能识别大脑活动模式中编码的特定表征，并将它们映射到整个大脑。
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