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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 Coordination 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. ... [Information of the supplier]
The Bernstein Network Computational Neuroscience was established in Germany in 2004. Its core elements are the Bernstein Centers for Computational Neuroscience in Berlin, Freiburg, Göttingen, Heidelberg-Mannheim, Munich and Tübingen. The network is complemented by 'Bernstein Partner' projects, consisting of five Bernstein Groups and eleven Bernstein Collaborations. Understanding the brain is the prerequisite for creating new methods for prevention and treatment of diseases of the nervous system. It may also help developing new strategies for learning and teaching. It may even be used for the design of new, 'intelligent' technical devices, such as neuroprostheses or more powerful computer systems. ... [Information of the supplier]
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