About the Winter School

This winter school brings together researchers from neuroscience, machine learning, information theory, and applied mathematics to study learning, computation, and representation in complex systems. Topics range from neural dynamics and synaptic plasticity to data-driven discovery of dynamical models, biologically inspired machine learning, information-theoretic approaches to causality, and experimental and data-analytic perspectives. The goal is to foster a shared understanding of how brains and machines learn, represent structure in the world, and give rise to coherent computation across scales.

Key Dates

• Core weeks: 15 Feb – 26 Feb 2027
• Extended week: 26 Feb – 06 Mar 2027 (lab visits & networking)
• Application window: 25 May 2026 – 01 Sep 2026
• Venue: Am Faßberg 17, 37077 Göttingen  View on map →