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Bernstein Center for Computational Neuroscience Berlin
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Computational Neuroscience in Berlin

The BCCN Berlin

Bernstein Center for Computational Neuroscience Berlin

The Bernstein Center for Computational Neuroscience Berlin (BCCN) is a leading research institution which hosts a number of groups working on questions related to neural computation from the single cell level all the way to the systemic level, both theoretically and experimentally. It hosts a Master and a PhD program to combine outstanding research with excellent teaching.

Neuroscience is one of the most rapidly developing and most important sciences of the 21st century. Understanding the functioning of the brain requires the collaborative efforts of neurobiologists, psychologists, cognitive scientists, medical researchers, computer scientists, mathematicians, physicists and engineers. A deeper insight into the functioning of the brain can be gained only through a research methodology that integrates computational modeling with empirical neuroscience. This integration is the basis of daily research work at the BCCN. Besides its focus on theory / experiment interactions, the BCCN Berlin has put major emphasis on conducting and pursuing research in an international context.

Internationality is ensured by worldwide collaborations, the presence of principal investigators with an international track record, and an international Bernstein Master and Doctoral program that attracts students from all over the world. There is no long-term prospect in science without the recruitment and education of young scientists. Benefiting from high commitment on part of the whole scientific staff, the Bernstein Center has become the cradle of intense teaching activity aimed to offer an excellent scientific training to selected outstanding students.

A faculty composed of principal investigators with complementary expertises grants the students an interdisciplinary education with the goal of empowering them to communicate across the diverse disciplines and to make their own contribution to the fast growing field of neuroscience. The structure of the teaching modules reflects the fundamental principle of theory/experiments integration: Each module is composed of a theoretical lecture complemented by analytical and programming tutorials as well as practical courses in the lab. Established in 2006/2007, the two graduate programs are growing more and more popular, as it is witnessed by the increasing number, quality, and internationality of the received applications.
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