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8th G-Node Short Course on Neural Data Analysis

Munich, July 31 - August 4, 2017

The G-Node Course on Neural Data Analysis offers hands-on experience in state-of-the-art methods for analyzing complex neural data to PhD students and postdocs. Participants may have a theoretical background with interest in analyzing biological data, or they may come from an experimental background, interested in new ways of analyzing their data.

Applicants should have an elementary understanding of linear algebra and statistics, as well as basic programming knowledge in either 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.

Topics

· Spectral analysis · Mutual information · Machine learning · Neural tuning and decoding · Signal Detection Theory · Multi-Channel Recording Analysis · Population Dynamics · Synchronization · Noise ·

Faculty

  • Jan Grewe · Eberhard Karls Universität Tübingen
  • Jannis Hildebrandt · Carl von Ossietzky Universität Oldenburg
  • Hendrikje Nienborg · Werner Reichardt Centre for Integrative Neuroscience Tübingen
  • Fabian Sinz · Baylor College of Medicine Houston

Application

Please send your application with the following material as a single pdf file to dataanalysis-course@g-node.org:

  • your CV
  • a statement of your motivation for wanting to take this course, and how the course will be important for your work or research program.
  • a brief description of your programming skills and experience with Matlab or Python

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: May 15, 2017
Early application is encouraged because number of participants is limited

Organization

Jan Grewe, Eberhard-Karls-Universität Tübingen
Fabian Sinz · Baylor College of Medicine, Houston

Local Organization
Monika Volk, LMU München

Host
Thomas Wachtler
German Neuroinformatics Node (G-Node)
Ludwig-Maximilians-Universität München
www.g-node.org

Local Address
LMU Biocenter
Großhaderner Str. 2
82152 Planegg-Martinsried
Course Room C 00.005
Download map and directions [pdf]

Funding

The German Neuroinformatics Node receives funding from the Bundesministerium für Bildung und Forschung (BMBF)

start.txt · Last modified: 2017/04/09 21:12 by admin

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