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

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

Ask authors/readers for more resources

Reprint

Contact the author

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started