Resolving Ambiguities of MVPA Using Explicit Models of Representation.
Resolving Ambiguities of MVPA Using Explicit Models of Representation.
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DOI：
10.1016/j.tics.2015.07.005
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发表时间：
2015-10
影响因子：
19.9
通讯作者：
Kay KN
中科院分区：
文献类型：
--
作者：
Naselaris T;Kay KN
我们主张将认知神经科学的重点从多变量模式分析(MVPA)转移到神经表征的显式模型的设计和测试上。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示，并将它们映射到整个大脑。
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.