Theory of Multi-scale Neuronal Networks group
Moritz Helias' group focuses on mechanisms that shape the dynamics and information processing in biological and artificial neuronal networks. On the side of biological networks, we are interested in the relationship between the structure and dynamics of neural networks to unveil experimentally testable mechanisms of collective phenomena. For artificial neuronal networks, we develop the physics of AI that allows us to understand and quantify generalization properties and learning. Employing and developing statistical physics methods to formulate biological and artificial networks in a unified language, allows us to discover overarching principles of information processing and to detect and quantify qualitative differences.