PyMVPA Courses¶
Tutorial Introduction to PyMVPA provides a collection of materials which could either be used for learning PyMVPA independently, or for teaching PyMVPA in workshops. This page provides a collection of programs, slides, and tutorials used in the past PyMVPA courses.
Justus-Liebig-Universitat, Giessen Germany, September 19-20, 2014¶
- Day 1
- Administrative remarks
- Lecture ”A very short introduction to multivariate pattern analysis (MVPA) for neuroscience”
- Quiz: ”Python foundations”
- Hands-on “Data representation in PyMVPA”
- Hands-on “PyMVPA building blocks and the command line interface”
- Lecture ”Basic MVPA strategies”
- Hands-on “Classification and cross-validation“
- Hands-on “Meta-classifiers and Searchlights“
- Day 2
- Lecture “Advanced methods, other data modalities and current developments”
- Hands-on “Searchlights (revamped) and RSA”
- Hands-on “Feature extraction and preprocessing”
- Lecture “PyMVPA and the larger scientific software eco-system”
- Hands-on “Group analyses”
- Hands-on “Statistical evaluation and Q&A”
Hanse-Wissenschaftskolleg, Germany, March 6-7, 2014¶
- Day 1
- Administrative remarks
- Lecture ”A very short introduction to multivariate pattern analysis (MVPA) for neuroscience”
- Quiz: ”Python foundations”
- Hands-on “Data representation in PyMVPA”
- Hands-on “PyMVPA building blocks and the command line interface”
- Lecture ”Basic MVPA strategies”
- Hands-on “Classification and cross-validation“
- Hands-on “Searchlights“
- Day 2
- Lecture “PyMVPA and the larger scientific software eco-system”
- Hands-on “Feature extraction and preprocessing”
- Hands-on “Connecting building blocks into analysis workflows”
- Lecture “Advanced methods, other data modalities and current developments”
- Hands-on “Group analyses”
- Hands-on “Statistical evaluation”