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Nilearn is a Python module for fast and easy statistical learning on NeuroImaging data.

It leverages the scikit-learn Python toolbox for multivariate statistics with applications such as predictive modelling, classification, decoding, or connectivity analysis.

The International Research Training Group (IRTG) is formed by scientists from JARA BRAIN, an initiative of the RWTH Aachen University and the Research Center Jülich, Germany, together with the University of Pennsylvania, USA. The IRTG will investigate a clinically and societally highly relevant topic: the neurobiology of pathological aggression and impulsivity.

The brain, with its billions of interconnected neurons, is without any doubt the most complex organ in the body and it will be a long time before we understand all its mysteries. The Human Brain Project proposes a completely new approach. The project is integrating everything we know about the brain into computer models and using these models to simulate the actual working of the brain. Ultimately, it will attempt to simulate the complete human brain. The models built by the project will cover all the different levels of brain organisation — from individual neurons through to the complete cortex. The goal is to bring about a revolution in neuroscience and medicine and to derive new information technologies directly from the architecture of the brain.

Find my contact information, publications and more on my RWTH Homepage.

MNE Python: The project vision

• Make interacting with MEG/EEG data more fun.
• Open project: very permissive BSD license, open version control system to facilitate contributions
• The project is being maintained by a community of labs