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FMRI Bootcamp - Classification

Offered By: MITCBMM via YouTube

Tags

Generalization Courses

Course Description

Overview

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.

Syllabus

Intro
Example
Classification Analysis
Training vs Testing
Common Factors
Generalization
Multiple comparisons
Hierarchical logic
Negative control less valuable
Positive control more valuable
ventral visual stream


Taught by

MITCBMM

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