Outline of benchmarking analyses

Vertex properties

Here is a list of Juptyer Notebooks and pages that characterize how vertex properties vary across the cortex for onavg and other templates.

• Inter-vertex distance

• Variation in vertex properties across the cortex

• Vertex distribution on the cortex

MVPA performance

Here is a list of Python scripts and Jupyter Notebooks to replicate the MVPA analyses in the paper. The scripts are approximately numbered in the order they should be run.

• Create hyperalignment template

  • mvpa/10_hyperalignment_template.py

• Compute hyperalignment transformations

  • mvpa/20_hyperalignment_transformation.py

• Whole-brain movie time point classification

  • mvpa/30_wholebrain_clf.py

  • Whole-brain classification of movie time points

• Searchlight movie segment classification

  • mvpa/32_sl_clf.py

  • Searchlight classification of movie segments

• Searchlight RSA-ISC

  • mvpa/40_sl_rsa.py

  • Inter-subject correlation of representational geometry

Computational time

This Jupyter Notebook summarizes the computational time of the analyses above.

• Benchmarking computational time