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Georgia Koppe

Showing results (1-10 of 43) with videos related to

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Arxiv|September 19, 2025
What Neuroscience Can Teach AI About Learning in Continuously Changing EnvironmentsDaniel Durstewitz, Bruno Averbeck, Georgia Koppe
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
Nature Reviews. Neuroscience|October 4, 2023
Reconstructing computational system dynamics from neural data with recurrent neural networksDaniel Durstewitz, Georgia Koppe, Max Ingo Thurm
Schizophrenia Bulletin|November 30, 2018
Recurrent Neural Networks in Mobile Sampling and InterventionGeorgia Koppe, Sinan Guloksuz, Ulrich Reininghaus, et al.
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging|April 7, 2020
Psychiatric Illnesses as Disorders of Network DynamicsDaniel Durstewitz, Quentin J M Huys, Georgia Koppe
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.
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.
Scientific Reports|January 17, 2025
Self-referential belief shares common neural correlates with general beliefEmily Bruns, Immanuel Scholz, Georgia Koppe, et al.
Plos One|November 8, 2021
Artificial intelligence applications in social media for depression screening: A systematic review protocol for content validity processesPriscilla N Owusu, Ulrich Reininghaus, Georgia Koppe, et al.
Pageof 5

Showing results (1-10 of 43) with videos related to

Sort By:
Pageof 5
Arxiv|September 19, 2025
What Neuroscience Can Teach AI About Learning in Continuously Changing EnvironmentsDaniel Durstewitz, Bruno Averbeck, Georgia Koppe
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
Nature Reviews. Neuroscience|October 4, 2023
Reconstructing computational system dynamics from neural data with recurrent neural networksDaniel Durstewitz, Georgia Koppe, Max Ingo Thurm
Schizophrenia Bulletin|November 30, 2018
Recurrent Neural Networks in Mobile Sampling and InterventionGeorgia Koppe, Sinan Guloksuz, Ulrich Reininghaus, et al.
Biological Psychiatry. Cognitive Neuroscience and Neuroimaging|April 7, 2020
Psychiatric Illnesses as Disorders of Network DynamicsDaniel Durstewitz, Quentin J M Huys, Georgia Koppe
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.
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.
Scientific Reports|January 17, 2025
Self-referential belief shares common neural correlates with general beliefEmily Bruns, Immanuel Scholz, Georgia Koppe, et al.
Plos One|November 8, 2021
Artificial intelligence applications in social media for depression screening: A systematic review protocol for content validity processesPriscilla N Owusu, Ulrich Reininghaus, Georgia Koppe, et al.
Pageof 5