Maintaining function in the presence of ongoing change


Sven Goedeke | University of Bonn, Germany
Felipe Yaroslav Kalle Kossio | University of Bonn, Germany


Recent experiments have revealed ongoing changes in the brain. In particular, synapses show intrinsic dynamics, even in the absence of activity. They also appear and vanish over time leading to a dynamic connectome. On a higher level, representations of information by neural activity exhibit continuous change or drift. In contrast, memories and behavior often remain stable for a long time. This workshop aims to bridge the different levels of ongoing changes and to discuss how function can be maintained in their presence. Specifically, the workshop will explore the following questions. How can unstable and intrinsically dynamic synapses support stable memories? Are ongoing changes of synapses a cause of representational drift? What are the characteristics of representational drift in different brain systems? What roles do homeostasis and redundancy play? How are the ongoing changes related to disorders and aging of the brain?

The workshop will bring together experimental, computational and theoretical perspectives on these questions. In several talks, researchers will present recent experimental data demonstrating drift or stability of neural representations. Furthermore, modeling studies addressing different aspects of ongoing changes will showcase current computational and theoretical approaches. There will be time to interactively discuss questions and ideas among the participants. We hope the workshop will foster the exchange between the different perspectives and aid our conceptual understanding of a dynamic structure-function relationship in neuroscience.

Schedule (CEST)




Taro Toyoizumi | RIKEN Center for Brain Science, Wako, Japan
Intrinsic spine dynamics are critical for recurrent network learning in models with and without autism spectrum disorder


Cian O’Donnell | University of Bristol, UK
Neural population variability and drift in a mouse model of autism


Júlia Gallinaro | Imperial College London, UK
Homeostatic control of synaptic rewiring leads to formation of cell assemblies in recurrent networks


Paul Manz | University of Bonn, Germany
STDP-based learning and maintenance of drifting assemblies


20 min break


Bastian Eppler | Frankfurt Institute for Advanced Studies, Germany
Formation of associations by learning-induced biases in the ongoing dynamics of sensory representations


Lee Susman | Princeton University, USA
Stable memory with unstable synapses


Michael Rule | University of Cambridge, UK
Self-healing neural codes


20 min break


Round table: Taro Toyoizumi, Júlia Gallinaro, Paul Manz, Cian O’Donnell, Bastian Eppler, Lee Susman, Michael Rule


20 min break


Andrew Fink| Columbia University, New York, USA
Carl Schoonover | Columbia University, New York, USA
Representational drift in primary olfactory cortex


Noa Sadeh, Meytar Zemer | Weizmann Institute of Science, Rehovot, Israel
Long‐term spatial memory is maintained in the presence of ongoing changes in hippocampal representations


Federico Devalle | Centre de Recerca Matemàtica, Barcelona, Spain
Long-term turnover dynamics in area CA1 of hippocampus are consistent with plasticity of non-spatial inputs


30 min break


Sara Solla | Northwestern University, Evanston, USA
Stability of neural dynamics underlies stereotyped learned behavior


Ji Xia | Washington University in St. Louis, USA
Stable representation of a naturalistic movie emerges from unstable episodic activity in mouse V1


William Mau | Icahn School of Medicine at Mount Sinai, New York, USA
Ensemble fluidity supports memory flexibility


Round table: Andrew Fink, Noa Sadeh, Federico Devalle, Sara Solla, Ji Xia, William Mau