Representational models: A common framework for understanding encoding, pattern-component, and representational-similarity analysis
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Title
Representational models: A common framework for understanding encoding, pattern-component, and representational-similarity analysis
Authors
Keywords
Neurons, Functional magnetic resonance imaging, Simulation and modeling, Probability distribution, Signal to noise ratio, Statistical noise, Musculoskeletal system, Approximation methods
Journal
PLoS Computational Biology
Volume 13, Issue 4, Pages e1005508
Publisher
Public Library of Science (PLoS)
Online
2017-04-25
DOI
10.1371/journal.pcbi.1005508
References
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