Computational Neuroscience combines experimental neuroscience with advanced data analysis, computer simulation, and mathematical modeling. On the basis of well-defined theoretical concepts, Computational Neuroscience provides a unifying scientific language and methodology that can be used across disciplines ranging from neurobiology to cognitive science, systems biology, and information technology.
Computational Neuroscience has made great strides in the last years, clearly shaping the way we think about neuronal dynamics and information processing. This concerns in particular the topic for joint Research at the Bernstein Center for Computational Neuroscience in Munich – “How are space and time represented in neuronal systems?”
The center is part of National Bernstein Network for Computational Neuroscience (NNCN), funded by the Federal Ministry of Education and Research. The Network is named after Julius Bernstein (1835-1917), the German physiologist and biophysicist whose “Membrane Theory” gave the first explanation of action potentials (1902).
The Bernstein Center Munich is closely linked with various local research networks. These range from computer science, electrical engineering and physics to biology, neurology, cognitive psychology and philosophy. Such as:
- Collaborative Research Center "Assembly and Function of Neuronal Circuits in Sensory Processing" (DFG SFB 870)
- Research Cluster Cognition for Technical Systems
- Research Training Group "Perception in Context and its neural Basis" (RTG 2175)
- SyNergy – the „Munich Cluster for Systems Neurology“
Scientists and students from the Bernstein Center participate in various integrated training and teaching programs on the Master and PhD level
- Graduate School of Systemic Neurosciences
- International Max-Planck Research School for Molecular and Cellular Life Sciences