[Neuroinfo] G-Node Short Course on Neural Data Analysis 2017

[Thomas Wachtler]

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