2nd G-Node Winter Course in Neural Data Analysis, March 1 - 5, 2010

The G-Node Winter Course in Neural Data Analysis is held on a yearly basis. This 2nd course gives 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 .

This year we will treat three types of electrophysiological data in four Modules, one module per day. (1) In intracellular patch clamp recordings from slice preparations synaptic events (PSCs and PSPs) will be analyzed with respect to reliability and plasticity. (2) In extracellular cortical single recordings from awake monkeys we study time-resolved firing rates and spike train variability, and evaluate multiple parallel spike trains for occurrence of significant spike correlation. (3) In parallel extracellular spike and local field potential recordings (LFP) we study the relationship of spike timing to features of oscillatory LFP time series.

All participants must have ample programming skills in Matlab. Most analysis tools 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 show interest in the practical analysis of real biological data.

Credits (2 ECTS) are granted to PhD students where applicable. Acceptance of credits is subject to the rules of the respective graduate program.
Total number of participants : 16
No fee is charged but participants should take care of travel and accommodation expenses.


  • Michael Denker · RIKEN BSI
  • Sonja Grün · RIKEN BSI
  • Alex Loebel · LMU Munich
  • Martin Nawrot · FU Berlin


Please send your application with the following material to dataanalysis-course@g-node.org

  • your CV
  • a statement of your reasons 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

Deadline: extended to 20. Jan 2010

Download flyer

Sonja Grün
RIKEN Brain Science Institute
Wako-Shi, Japan

Local Organization
Alex Loebel, LMU München
Monika Volk, LMU München
Thomas Wachtler, LMU München

Andreas Herz, Thomas Wachtler
German Neuroinformatics Node (G-Node)
Ludwig-Maximilians-Universität München

Local Address
LMU Biocenter
Großhaderner Str. 2
82152 Planegg-Martinsried
Course Room C 0.005

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

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