GitHub - vmichel/tutorial: NeuroImaging with the Scikit-learn: fMRI inverse inference tutorial

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 80 Commits
tests		tests
themes/scikit-learn		themes/scikit-learn
Makefile		Makefile
README.txt		README.txt
__init__.py		__init__.py
conf.py		conf.py
datasets.py		datasets.py
decoding_example.py		decoding_example.py
hierarchical_clustering.py		hierarchical_clustering.py
index.rst		index.rst
scikitlearn.png		scikitlearn.png
simulated_example.py		simulated_example.py
starplus.py		starplus.py
starplus_decoding_example.py		starplus_decoding_example.py
starplus_supervised_clustering.py		starplus_supervised_clustering.py
supervised_clustering.py		supervised_clustering.py
supervised_clustering_vs_anova.py		supervised_clustering_vs_anova.py

Repository files navigation

This projects contains a tutorial on how to process functional Magnetic Resonance Imaging (fMRI) data with the scikit-learn.

This work is made available by the INRIA Parietal Project Team and the scikit-learn folks, among which V. Michel, A. Gramfort, G. Varoquaux, F. Pedregosa and B. Thirion.