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-Universit√§t M√ľnchen.

 


News

G-Node Workshop: Efficient Data Management in Neuroscience

Munich, June 16 - 17, 2015

With increasing complexity of experiments and analyses, recording and managing metadata together with data has become a challenging task. To address these challenges, this workshop will focus on recent approaches for data annotation and data organization. The workshop is intended for scientists working with experimental or simulated data and interested in novel solutions for data management.

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Bernstein Conference 2015: Call for Abstracts

Heidelberg, September 14 - 17, 2015

The National Bernstein Network Computational Neuroscience invites the submission of abstracts for poster presentations at the Bernstein Conference 2015.

Deadline for abstract submission: May 29, 2015

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Advanced Scientific Programming in Python

Munich, August 31 - September 5, 2015

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. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques, incorporating theoretical lectures and practical exercises tailored to the needs of a programming scientist.

Deadline for application: March 31, 2015

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G-Node Winter Course on Neural Data Analysis 2015

Munich, February 23-27, 2015

The German Neuroinformatics Node (G-Node) organizes its seventh international training course to promote state-of-the-art methods of neural data analysis among PhD students and postdocs. The course offers hands-on experience with model-driven analysis of data from intra- and extracellular electrophysiology. We encourage applications from students/postdocs with an experimental background that want to widen their repertoire of analysis methods, as well as from students with a theoretical background that have an interest in analyzing physiological data.

Deadline for application: December 19, 2014

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