Teaching & Training
Computational Neuroscience studies brain functions by modeling and simulating the information processing properties of single neurons, neuronal networks or larger network assemblies. It therefore links such diverse fields as molecular and cellular neuroscience, cognitive neuroscience, psychology and psychiatry with computer sciences, mathematics and biophysics and hence is a highly interdisciplinary science. Our 21 research groups, that are located at the ZIMH in Mannheim as well as at the IZN and the IWR of the University of Heidelberg, focus on the role of molecular variations on information processing in psychiatric conditions such as schizophrenia, depression and age-related degenerative conditions using computational methods. The participating PhD-students are therefore trained in very diverse disciplines such as molecular and cellular biosciences, psychology, psychiatry, physics or mathematics. Our curriculum accounts for these differences in the individual education by offering mandatory core classes that are designed to generate a common knowledge base for all students.
The International Graduate School in Computational Neuroscience of the BCCN intimately cooperates with the International Graduate Schools in Interdisciplinary Neuroscience (IZN) and Translational Neuroscience (SFB636). All classes of our Neuroscience Graduate Schools and other linked Graduate Schools (HBIGS, COS, MD/PhD) are open to registered PhD students and are acknowledged by the individual curricula.