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1
Intro
2
Classification
3
Representational Similarity
4
Correlation
5
Notational Variant
6
Chris Curtis
7
Model Selection Problems
8
Comparing Models
Description:
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.

FMRI Bootcamp - Representational Similarity

MITCBMM
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