Welcome to the German Neuroinformatics Node

The global scale of neuroinformatics offers unprecedented opportunities for scientific collaborations between and among experimental and theoretical neuroscientists. To fully harvest these possibilities, coordinated activities are required to improve key ingredients of neuroscience: data access, data storage, and data analysis, together with supporting activities for teaching and training.

Focusing on the development and free distribution of tools for handling and analyzing neurophysiological data, G-Node aims at addressing these aspects as part of the International Neuroinformatics Coordinating Facility (INCF) and the German Bernstein Network for Computational Neuroscience (NNCN). G-Node also serves as an international forum for Computational Neuroscientists that are interested in sharing experimental data and tools for data analysis and modeling. G-Node is funded through the German Federal Ministry of Education and Research and hosted by Ludwig-Maximilians-Universität München.

 


News

G-Node Short Course on Neural Data Analysis 2017

Munich, July 31 - August 4, 2017

The German Neuroinformatics Node (G-Node) organizes its eighth international one-week course on neural data analysis (formerly known as the G-Node Winter Course) at the LMU in Munich. The course offers hands-on experience in state-of-the-art methods for analyzing complex neural data to PhD students and postdocs from theoretical or experimental backgrounds. Applicants should have an elementary understanding of linear algebra and statistics, as well as basic programming knowledge in either Matlab or Python.

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10ᵗʰ Advanced Scientific Programming in Python

Nikiti, Greece, August 28 - September 2, 2017

Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. In this course we will present a selection of advanced programming techniques and best practices which are standard in the industry, but especially tailored to the needs of a programming scientist.

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