Representational drift and its consequences for learning and memory

Recent years have revealed that neuronal representations are not stable, but instead change over time, a phenomenon known a representational drift. This workshop aims to explore the consequences of this drift for learning, memory consolidation, and behavioral stability. We will bring together experimental and theoretical perspectives to address key questions: How does representational drift manifest across brain areas and tasks? How can the brain maintain stable behavior and memory performance despite ongoing changes in neuronal activity? And what mechanisms might underlie the coexistence of plasticity and stability across different levels of brain organization? The workshop will feature eight talks by invited speakers, complemented by an introductory overview and a concluding summary provided by the organizers, as well as a dedicated discussion session to foster interaction and synthesis across disciplines.