ReproNim DGPA workshop
Welcome!
Diversity, Equity and Inclusion
Workshop overview
Setup for the workshop
Outline
Course prerequisites
Introduction to the (unix) command line: bash
Introduction to the jupyter ecosystem & notebooks
Introduction to Python
Course add-ons
Introduction to NumPy
Introduction to SciPy
Introduction to scikit-learn & scikit-image
Visualization of different data types with python
Using Python for neuroimaging data - NiBabel
Using Python for neuroimaging data - Nilearn
Nilearn GLM: statistical analyses of MRI in Python
Functional connectivity and resting state
Structural connectivity and diffusion imaging
Preparation Machine Learning
MVPA and Searchlight with
nilearn
TensorFlow
/
Keras
Machine learning to predict age from rs-fmri
Basics of reproducible neuroimaging
Workshop introduction
Reproducible Neuroimaging - an introduction
Version control - intro
Virtualization of computing environments
Standardization in neuroimaging
Advanced concepts in reproducible neuroimaging
Recap of the basics
Version control - data
Meta-data
A reproducible neuroimaging workflow
Wrap up, discussion & Q&A
Social & networking
Yoga and/or dance break
Code of Conduct
repository
open issue
Index
