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Jülich Data Analysis Block course

ANDA: Advanced Course on Neural Data Analysis

Techniques to record neuronal data from populations of neurons are rapidly improving. Simultaneous recordings from hundreds of channels are possible while animals perform complex behavioral tasks. The analysis of such massive and complex data becomes increasingly challenging. This advanced course aims at providing deeper training in state-of-the-art analysis approaches in systems neuroscience.

The course is addressed to excellent master and PhD students and young researchers who are interested in learning advanced techniques in data analytics and in getting hands-on experience in the analysis of electrophysiological data. Internationally renowned researchers will give lectures on statistical data analysis and data mining methods with accompanying exercises. Students will define and perform their own analyses on provided data to solve a challenge.

block, lectures, exercises, hands-on experience in the analysis of electrophysiological data

excellent master and PhD students and young researchers

Participants are required to have a strong interest in data analysis, a background in a mathematical or related field, knowledge of algebra, matrix operations, and statistics, and need to have solid programming experience (preferably in Python).

G-Node, LMU Munich, University of Cologne, Forschungszentrum Jülich, Hebrew University of Jerusalem

The venue of the course is Haus Overbach, Jülich-Barmen

01.04.2019-18.04.2019, full-day /
Visit the course website