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 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.
News
4th G-Node Winter Course in Neural Data Analysis
March 05 - 09, 2012, Munich, Germany
The German Neuroinformatics Node (G-Node) organizes its fourth international training course to promote state-of-the-art methods of neural data analysis among PhD students and postdocs. During 4 days 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.
moreG-Node Workshop on Neuronal GPU Computing
April 11 - 13, 2012, Munich, Germany
Graphics processing units (GPUs) offer a low-cost approach to parallel high-performance computing. Neuronal simulations can be parallelized efficiently and are particularly well suited for implementation on GPUs. There is also great potential for GPU-based high-throughput analysis of neuronal data. The field is progressing at rapid pace, and has reached a point where it may strongly benefit from some kind of convergence between the different approaches. To facilitate communication and foster collaboration in the field, the German INCF Node (G-Node) organizes a one-day symposium on neuronal GPU computing with an adjoint two-day developer workshop.
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