Daniel Durstewitz

Research Group Computational Neuroscience Central Institute of mental Health, Mannheim, Baden-Württemberg, Germany 
Dopamine, biophysically realistic models
"Daniel Durstewitz"
Mean distance: 16.26 (cluster 17)
Cross-listing: Computational Biology Tree

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Koppe G, Meyer-Lindenberg A, Durstewitz D. (2020) Deep learning for small and big data in psychiatry. Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology
Oettl LL, Scheller M, Filosa C, et al. (2020) Phasic dopamine reinforces distinct striatal stimulus encoding in the olfactory tubercle driving dopaminergic reward prediction. Nature Communications. 11: 3460
Durstewitz D, Huys QJM, Koppe G. (2020) Psychiatric Illnesses as Disorders of Network Dynamics. Biological Psychiatry. Cognitive Neuroscience and Neuroimaging
Linke JO, Koppe G, Scholz V, et al. (2020) Aberrant probabilistic reinforcement learning in first-degree relatives of individuals with bipolar disorder. Journal of Affective Disorders. 264: 400-406
Heinz A, Kiefer F, Smolka MN, et al. (2019) Addiction Research Consortium: Losing and regaining control over drug intake (ReCoDe)-From trajectories to mechanisms and interventions. Addiction Biology. e12866
Koppe G, Toutounji H, Kirsch P, et al. (2019) Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI. Plos Computational Biology. 15: e1007263
Durstewitz D, Koppe G, Meyer-Lindenberg A. (2019) Deep neural networks in psychiatry. Molecular Psychiatry
Koppe G, Guloksuz S, Reininghaus U, et al. (2018) Recurrent Neural Networks in Mobile Sampling and Intervention. Schizophrenia Bulletin
Toutounji H, Durstewitz D. (2018) Detecting Multiple Change Points Using Adaptive Regression Splines With Application to Neural Recordings. Frontiers in Neuroinformatics. 12: 67
Oboti L, Russo E, Tran T, et al. (2018) Amygdala Corticofugal Input Shapes Mitral Cell Responses in the Accessory Olfactory Bulb. Eneuro. 5
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