The field of Computational Neuroscience aims to uncover the fundamental principles of brain function and behavior using mathematical, computational, and theoretical approaches. In Hamburg, a diverse group of research labs working at this intersection forms the Bernstein Node Hamburg—a hub for collaboration, innovation, and scientific exchange. As part of the Bernstein Network Computational Neuroscience , the node fosters a vibrant community of researchers united by a shared goal: to advance our understanding of the brain.
A highlight of the node’s activities is the Annual Symposium in Computational Neuroscience—a one-day event that brings internationally renowned experts to Hamburg, creating a unique forum for local and global exchange. Other key initiatives include teaching programs in Computational Neuroscience, cross-institutional supervision of Bachelor’s, Master’s, and Ph.D. students, and collaborative research projects.
Members of the Bernstein Node Hamburg come from a wide range of institutions, including the Institutes for Computational Neuroscience , Systems Neuroscience , Neural Information Processing , and Neurophysiology at the University Medical Center Hmburg-Eppendorf , as well as the Departments of Neurology , Psychology , and Computer Science at the University of Hamburg, and the Medical School Hamburg .
Members:
- Cristina Becchio
- Wilhelm Braun
- Christian Büchel
- Bastian Cheng
- Tobias Donner
- Kayson Fakhar
- Manuel Friese
- Jürgen Gallinat
- Timo Gerkmann
- Jan Gläscher (scientific coordinator)
- Sebastian Gluth
- Claus C. Hilgetag
- Tanja Lincoln
- Stefano Panzeri
- Oilver Schmitt
- Nicolas Schuck
- Lars Schwabe
- Oleg Solopchuk