The G-Node Winter Course on Neural Data Analysis is held on a yearly basis. This 7th course will give hands-on experience with neural data analysis for PhD students and young postdocs. Participants with either theoretical or experimental background are equally invited. Participants may have a theoretical background with interest in analyzing biological (or simulated) data, or they may come from an experimental background, interested in new ways of analyzing their data.
Participants must have ample programming skills in Matlab or Python. Most analysis tools will have to be programmed by the individual participant, under the guidance of tutors. Participants should show interest in model-driven analyses and be open to theoretical approaches to data analysis. Likewise, they should be interested in the practical analysis of real biological data.
· Short-term synaptic plasticity · Spectral analysis · Mutual information · Machine learning · Neural tuning and decoding ·
Please send your application with the following material to email@example.com:
There will be a non-refundable participation fee of 50 Euros, payable immediately after notification of acceptance.
Credits (2 ECTS) are granted to PhD students where applicable. Acceptance of credits is subject to the rules of the respective graduate program.
Deadline: Dec 19, 2014
Early application is encouraged because number of participants is limited
Jan Grewe, Eberhard-Karls-Universität Tübingen
Monika Volk, LMU München
Thomas Wachtler, LMU München
Andreas Herz, Thomas Wachtler
German Neuroinformatics Node (G-Node)
Großhaderner Str. 2
Course Room C 00.005
Download map and directions [pdf]
The German Neuroinformatics Node receives funding from the Bundesministerium für Bildung und Forschung (BMBF)