Henning Sprekeler
Photo: SCIoI
Henning Sprekeler is Bernstein Professor of Modeling of Cognitive Processes. For SCIoI, he represents the analytical discipline computational neuroscience. He has extensive expertise in computational modelling of synaptic plasticity and its consequences for behavioural learning and the formation of memories. He has also worked on the self-organised development of high-level sensory representations, an essential prerequisite for intelligent behaviour.
Projects
Henning Sprekeler is member of Project 03, Project 12, Project 13, Project 25, Project 33, Project 40, Project 58.
Publications +
Vischer, M., Lange, R., & Sprekeler, H. (2022). On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning. ICLR 2022. https://doi.org/10.48550/arXiv.2105.01648
Lukas, J., Krause, J., Träger, A. S., Piotrowski, J. M., Romanczuk, P., Sprekeler, H., Arias-Rodriguez, L., Krause, S., Schutz, C., & Bierbach, D. (2023). Multispecies collective waving behaviour in fish. Philosophical Transactions of the Royal Society B. https://doi.org/10.1098/rstb.2022.0069
Lange, R., & Sprekeler, H. (2022). Learning not to learn: Nature versus Nurture in Silico. AAAI 2022. https://doi.org/10.48550/arXiv.2010.04466
Oksuz, H. Y., Molinari, F., Sprekeler, H., & Raisch, J. (2023). Federated Learning in Wireless Networks via Over-the-Air Computations. 62nd IEEE Conference on Decision and Control (CDC), 4379–4386. https://doi.org/10.1109/CDC49753.2023.10384001
Gómez-Nava, L., Lange, R. T., Klamser, P. P., Lukas, J., Arias-Rodriguez, L., Bierbach, D., Krause, J., Sprekeler, H., & Romanczuk, P. (2023). Fish shoals resemble a stochastic excitable system driven by environmental perturbations. Nature Physics. https://doi.org/10.1038/s41567-022-01916-1
