2025
Durstewitz D., Averbeck B. & Koppe G.
What Neuroscience Can Teach AI About Learning in Continuously Changing Environments
preprint arXiv: https://doi.org/10.48550/arXiv.2507.02103
Nature Machine Intelligence, accepted for publication
Emonds N., Herberg E., Gerchen M. F., Pritsch M., Rocha J., Zamoscik V., Kirsch P., Herzog R. & Koppe G.
A Data-Driven Closed-Loop Control Approach to Drive Neural State Transitions for Mechanistic Insight
preprint bioRxiv: https://doi.org/10.1101/2025.07.21.665992
Brenner M. & Koppe G.
Uncovering the Functional Roles of Nonlinearity in Memory
preprint arXiv: https://doi.org/10.48550/arXiv.2506.07919
Fechtelpeter J., Rauschenberg C., Goetzl C., Hiller S., Emonds N. , Krumm S., ReinighausϮ U., DurstewitzϮ D. & KoppeϮ G.
Computational network models for forecasting and control of mental health trajectories in digital applications
preprint medRxiv: https://doi.org/10.1101/2025.07.03.25330825
Brenner* M., Weber* E., KoppeϮ G. & DurstewitzϮ D.
Learning interpretable hierarchical dynamical systems models from time series data
The Thirteenth International Conference on Learning Representations, 2025
2024
Rauschenberg C., Schirmbeck F., Fechtelpeter J., Wierzba E., Hiller S., Kahr K., KoppeϮ G. & ReininghausϮ U.
Effects of AI4U training, a machine learning-based, adaptive ecological momentary intervention for personalized mental health promotion in youth: findings from a micro-randomized trial
2024, October 13, https://doi.org/10.31234/osf.io/mvyar
Volkmann E., Braendle A., Durstewitz D. & Koppe G.
A scalable generative model for dynamical system reconstruction from neuroimaging data
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
Brenner M., Guennouni I., Durstewitz D., Schmidt S. N. L., Lis S., Kirsch P. & Koppe G.
Digital twins of human social interactions reveal behavioral strategies in exchange games
2024, September 20, https://doi.org/10.31234/osf.io/m6pnq
Brenner M., Hess F., Koppe G., Durstewitz D.
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics
Proceedings of the 41st International Conference on Machine Learning, PMLR 235:4482-4516, 2024
Fechtelpeter J., Rauschenberg C., Jamalabadi H., Boecking B., van Amelsvoort T., Reininghaus U., Durstewitz D., Koppe G.
A control theoretic approach to evaluate and inform ecological momentary interventions
International Journal of Methods in Psychiatric Research, 2024, e70001, https://doi.org/10.1002/mpr.70001
