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Molecular Psychiatry|February 17, 2019
Deep neural networks in psychiatryDaniel Durstewitz, Georgia Koppe, Andreas Meyer-Lindenberg
Neuropsychopharmacology : 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 Durstewitz
Iscience|August 21, 2024
Quantifying brain-functional dynamics using deep dynamical systems: Technical considerationsJiarui Chen, Anastasia Benedyk, Alexander Moldavski, et al.
Arxiv|September 19, 2025
What Neuroscience Can Teach AI About Learning in Continuously Changing EnvironmentsDaniel Durstewitz, Bruno Averbeck, Georgia Koppe
Nature Communications|June 25, 2025
Abstract rule learning promotes cognitive flexibility in complex environments across speciesFlorian Bähner, Tzvetan Popov, Nico Boehme, et al.
Nature Reviews. Neuroscience|October 4, 2023
Reconstructing computational system dynamics from neural data with recurrent neural networksDaniel Durstewitz, Georgia Koppe, Max Ingo Thurm
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging|April 7, 2020
Psychiatric Illnesses as Disorders of Network DynamicsDaniel Durstewitz, Quentin J M Huys, Georgia Koppe
Schizophrenia 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.
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