G-Node Short Course on Neural Data Analysis 2017 July 31 - Aug 4, 2017 in Munich, Germany The German Neuroinformatics 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 both theoretical and experimental backgrounds. Applicants should have an elementary understanding of linear algebra and statistics, as well as basic programming knowledge in either Matlab or Python. Faculty: Jan Grewe · Eberhard Karls Universität Tübingen Jannis Hildebrandt · Carl von Ossietzky Universität Oldenburg Hendrikje Nienborg · Centre for Integrative Neuroscience Tübingen Fabian Sinz · Baylor College of Medicine Houston Topics: · Spectral analysis · Mutual information · Machine learning · Neural tuning and decoding · Signal Detection Theory · Multi-Channel Recording Analysis · Population Dynamics · Synchronization · Noise · Deadline for application: May 15, 2017 For more information visit http://www.g-node.org/dataanalysis-course-2017