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Studying Computational Neuroscience

Computational Neuroscience is an interdisciplinary field that studies neural systems with mathematical models and computer simulations. Levels of analysis range from the molecular and cellular level up to the systems and cognitive level. Computational Neuroscience closely interacts with experimental neuroscience. For instance, experimental data are valued inputs for developing theoretical models; and theoretical results are used to generate new experimental hypotheses.

At the Ruhr University Bochum, several research groups work in the field of Computational Neuroscience:


A sequence of classes offered in the Faculty of Psychology specifically targets Psychology students, including those who do not already have a strong background in programming and mathematical modelling. Successful completion of these classes will enable Psychology students to pursue a Master thesis in Computational Neuroscience. However, these classes are open to interested students of other disciplines, especially Applied Computer Science.

Bachelor Level (3rd semester and up)

  • Introduction to scientific programming (Winter Semester, Morrison)
  • Mathematical Psychology (Summer Semester, Cheng)

Master Level

  • Cognitive Modeling (Winter Semester, Cheng)
  • Neural Networks (Summer Semester, Morrison)

In these classes, students not only gain in-depth knowledge of up-to-date topics in Neuroscience, but also acquire important methodological skills such as computer programming and communication of scientific results. These skills can be a valuable asset when applying for positions in research institutions or the industry. The acquired programming skills also enable students to design their own computer experiments or to conduct data analysis.


The sequence of classes can be supplemented with other classes outside the sequence:

  • Mathematics for modeling and data analysis (Summer Semester, Wiskott)
  • Model-based data analysis (Summer Semester, Wiskott)
  • Neural Simulation (Summer Semester, Yoshida)