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Study mode:
on
1
Intro
2
Example
3
Classification Analysis
4
Training vs Testing
5
Common Factors
6
Generalization
7
Multiple comparisons
8
Hierarchical logic
9
Negative control less valuable
10
Positive control more valuable
11
ventral visual stream
Description:
Explore advanced fMRI analysis techniques in this comprehensive lecture focusing on classification methods. Delve into the intricacies of training versus testing, common factors affecting results, and the importance of generalization in neuroimaging studies. Learn about multiple comparisons, hierarchical logic, and the relative value of negative and positive controls. Gain insights into the ventral visual stream and its role in fMRI research. Presented by Rebecca Saxe from MIT, this in-depth session provides valuable knowledge for researchers and students in the field of cognitive neuroscience and neuroimaging.

FMRI Bootcamp - Classification

MITCBMM
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