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Explore advanced fMRI analysis techniques in this comprehensive lecture on representational similarity analysis. Delve into classification methods, correlation techniques, and notational variants as presented by MIT professor Rebecca Saxe. Examine model selection problems and learn how to effectively compare different models in fMRI research. Gain insights from expert Chris Curtis on practical applications and challenges in neuroimaging data analysis.
Syllabus
Intro
Classification
Representational Similarity
Correlation
Notational Variant
Chris Curtis
Model Selection Problems
Comparing Models
Taught by
MITCBMM