Representational models: A common framework for understanding encoding, pattern-component, and representational-similarity analysis

标题
Representational models: A common framework for understanding encoding, pattern-component, and representational-similarity analysis
作者
关键词
Neurons, Functional magnetic resonance imaging, Simulation and modeling, Probability distribution, Signal to noise ratio, Statistical noise, Musculoskeletal system, Approximation methods
出版物
PLoS Computational Biology
Volume 13, Issue 4, Pages e1005508
出版商
Public Library of Science (PLoS)
发表日期
2017-04-25
DOI
10.1371/journal.pcbi.1005508

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