Graduate School neurodapt!

The graduate school neurodapt! is part of the non-medical PhD program at the University Medical Center Hamburg-Eppendorf (UKE).

The graduate school neurodapt! was initially funded as part of the Landesexzellenzcluster neurodapt! by the excellence initiative of the state of Hamburg. Since 2013 it is continued by the Institute of Systems Neuroscience.

You can find here a list of the Phd and MD theses completed at the institute.

Since 2018 the graduate school neurodapt! is one of the Max Planck Schools of Cognition (for more information in German ).

Moreover, the graduate school neurodapt! is since 2018 a member of the Network of European Neuroscience Schools (NENS). For detailed information on current opportunities NENS offers to its school programs and enrolled students, please visit ...

More information on higher education and training opportunities provided by the FENS can be found also here .

The UKE’s deanery and the Hamburg Research Academy of the University of Hamburg offer a large variety of attractive key skill courses and interdisciplinary seminars.. Therefore, the institute’s graduate school neurodapt! focuses on research methods, in particular, on research methods that are relevant for Systems- and Cognitive Neuroscience PhD students.
Currently, courses with the following topics are either scheduled or planned:

1) Programming Languages

  • • Matlab (Intermediate, Advanced, Psychophysics Toolbox)
  • • Python (Beginners, Advanced)
  • • Unity
  • • Linux/Unix shell scripting

2) Statistical, computational, and mathematical methods

  • • R (Intermediate and Advanced)
  • • Advanced numerical methods (I and II)
  • • Computational modelling (Introduction, Advanced)

3) Analysis

  • • SPM (annual course for beginners, advanced workshops)
  • • measurement and analysis of eye tracking data
  • • measurement and analysis autonomic physiological data
  • • multivariate pattern analyses/machine learning
  • • Bayesian analysis methods

Course language is English. A detailed description of specific seminars can be found here . Please contact Tobias Sommer for further information.

In addition, the institute organizes a Cognitive Neuroscience Colloquium where invited national and international researches present their current work.

Seminars and workshops of the graduate school are approved by the UKE’s PhD program, i.e. participants can obtain credit points. For three day courses (plus preparation and homework) 2 credit points can be obtained. For participating in 10 sessions of the Cognitive Neuroscience Colloquium 1 credit point is awarded. In addition, there are shorter workshops for very specific topics (e.g. Dynamic Causal Modelling in SPM, ACID-toolbox of SPM). The amount of these shorter workshops necessary to obtain credits points depend on the exact duration. A list of current and past workshops and seminars can be found under ...

Most courses take place in the institute’s seminar room in building W34, third floor. Of course, all courses and seminars are also open for interested students and researchers that do not participate in the UKE PhD program.
The graduate school is coordinated by Tobias Sommer. Please contact him for more information, questions about specific courses and all requests.

In addition to the seminars and colloquium, the institute organizes a weekly seminar where new projects and results of past projects are discussed. Moreover, each of the institute’s research groups , arranges a weekly meetings where more specific neuroscientific research topics are discussed (LINK). Finally, the institute organizes since 20 years an annual 4-5 days SPM course .

There are also several other graduate schools and events at the UKE, e. g. , . PhD students can attend their workshops and classes, if capacity is available. Information about courses will be either announced at the websites of the programs or can be received from the program managers. Interested PhD-students should contact latter ones directly about free capacity in the classes.

Introduction to Python by Niklas Wilming and Jan Willem de Gee

Introduction to Python by Niklas Wilming and Jan Willem de Gee