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Arxiv|September 19, 2025
What Neuroscience Can Teach AI About Learning in Continuously Changing EnvironmentsDaniel Durstewitz, Bruno Averbeck, Georgia KoppeMolecular Psychiatry|February 17, 2019
Deep neural networks in psychiatryDaniel Durstewitz, Georgia Koppe, Andreas Meyer-LindenbergNeuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology|July 16, 2020
Deep learning for small and big data in psychiatryGeorgia Koppe, Andreas Meyer-Lindenberg, Daniel DurstewitzNature Reviews. Neuroscience|October 4, 2023
Reconstructing computational system dynamics from neural data with recurrent neural networksDaniel Durstewitz, Georgia Koppe, Max Ingo ThurmBiological Psychiatry. Cognitive Neuroscience and Neuroimaging|April 7, 2020
Psychiatric Illnesses as Disorders of Network DynamicsDaniel Durstewitz, Quentin J M Huys, Georgia KoppeSchizophrenia Bulletin|November 30, 2018
Recurrent Neural Networks in Mobile Sampling and InterventionGeorgia Koppe, Sinan Guloksuz, Ulrich Reininghaus, et al.Plos Computational Biology|August 22, 2019
Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRIGeorgia Koppe, Hazem Toutounji, Peter Kirsch, et al.Human Brain Mapping|October 16, 2021
Classification of amyotrophic lateral sclerosis by brain volume, connectivity, and network dynamicsJanine Thome, Robert Steinbach, Julian Grosskreutz, et al.Frontiers in Neuroscience|January 26, 2023
Model-based experimental manipulation of probabilistic behavior in interpretable behavioral latent variable modelsJanine Thome, Mathieu Pinger, Daniel Durstewitz, et al.Journal of Affective Disorders|February 15, 2020
Aberrant probabilistic reinforcement learning in first-degree relatives of individuals with bipolar disorderJulia O Linke, Georgia Koppe, Vanessa Scholz, et al.Pageof 10