National Bernstein Network for Computational Neuroscience

A better understanding of how the brain realizes information processing, cognition and creativity establishes completely new possibilities for research and society. Understanding cognitive functions on the basis of the structure of the brain and its neural dynamics is essential for the prevention and treatment of disorders of the nervous system, for a better general comprehension of biological processes, for developing new high-performing computers and, last but not least, for designing efficient strategies for teaching and learning. The research field of Computational Neuroscience tackles this challenge. It combines experiments with data analysis and computer simulation on the basis of well-defined theoretical concepts. The central aim of Computational Neuroscience is to identify the neuronal basis of brain performance, from the processing of complex sensory stimuli to learning processes and calling up stored information, as well as the planning and precise coordination of behavior-relevant movement patterns. This interdisciplinary approach to research requires targeted interdisciplinary cooperation between the neurosciences, biology, medicine, physics, mathematics, and computer science. The training of junior scientists in the field of computational neuroscience is an essential part of the National Network. Within this network, the members will be interlinked through the exchange of data, methods of analysis, computer models and theoretical approaches.

The BMBF provides funding for the field of computational neuroscience with different funding measures:

- Bernstein Focus "Neurotechnology"
- Bernstein Focus "Neuronal Basis of Learning"
- Bernstein Centers for Computational Neuroscience II
- Bernstein Centers for Computational Neuroscience I
- Bernstein Award
- German – US Collaboration in Computational Neuroscience

Bernstein Coordination Site (BCOS)

German Neuroinformatics Node