185 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Heidelberg UniversityDE11 papers
- University Hospital HeidelbergDE6 papers
- Medizinische Fakultät Mannheim4 papers
- Bernstein Center for Computational Neuroscience Heidelberg-MannheimDE2 papers
- Universidade de São PauloBR2 papers
- University of ViennaAT2 papers
- Vienna Institute for International Economic StudiesAT2 papers
- Assistance Publique – Hôpitaux de ParisFR1 paper
- CEA Paris-SaclayFR1 paper
- Centre BorelliFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Charité - Universitätsmedizin BerlinDE1 paper
11 papers
Automatic rating of incomplete hippocampal inversions evaluated across multiple cohorts
Lisa Hemforth, Baptiste Couvy-Duchesne, Kevin De Matos +34
Incomplete Hippocampal Inversion (IHI), sometimes called hippocampal malrotation, is an atypical anatomical pattern of the hippocampus found in about 20% of the general population.…
Reconciling the Contour-Improved and Fixed-Order Approaches for Hadronic Spectral Moments II: Renormalon Norm and Application in Determinations
Miguel A. Benitez-Rathgeb, Diogo Boito, André H. Hoang +1
In a previous article, we have shown that the discrepancy between the fixed-order (FOPT) and contour-improved (CIPT) perturbative expansions for hadronic spectral function mome…
Deep learning and differential equations for modeling changes in individual-level latent dynamics between observation periods
Göran Köber, Raffael Kalisch, Lara Puhlmann +3
When modeling longitudinal biomedical data, often dimensionality reduction as well as dynamic modeling in the resulting latent representation is needed. This can be achieved by art…
Reconciling the Contour-Improved and Fixed-Order Approaches for Hadronic Spectral Moments I: Renormalon-Free Gluon Condensate Scheme
Miguel A. Benitez-Rathgeb, Diogo Boito, Andre H. Hoang +1
We propose a simple and easy-to-implement scheme for a renormalon-free gluon condensate (GC) matrix element, which is analogous to implementations of short-distance heavy-quark mas…
Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-time
Zahra Monfared, Daniel Durstewitz
Recurrent neural networks (RNN) as used in machine learning are commonly formulated in discrete time, i.e. as recursive maps. This brings a lot of advantages for training models on…
Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies
Dominik Schmidt, Georgia Koppe, Zahra Monfared +2
A main theoretical interest in biology and physics is to identify the nonlinear dynamical system (DS) that generated observed time series. Recurrent Neural Networks (RNNs) are, in…
Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI
Georgia Koppe, Hazem Toutounji, Peter Kirsch +2
A major tenet in theoretical neuroscience is that cognitive and behavioral processes are ultimately implemented in terms of the neural system dynamics. Accordingly, a major aim for…
Combined tract segmentation and orientation mapping for bundle-specific tractography
Jakob Wasserthal, Peter Neher, Dusan Hirjak +1
While the major white matter tracts are of great interest to numerous studies in neuroscience and medicine, their manual dissection in larger cohorts from diffusion MRI tractograms…
Detecting Multiple Change Points Using Adaptive Regression Splines with Application to Neural Recordings
Hazem Toutounji, Daniel Durstewitz
Time series, as frequently the case in neuroscience, are rarely stationary, but often exhibit abrupt changes due to attractor transitions or bifurcations in the dynamical systems p…
A State Space Approach for Piecewise-Linear Recurrent Neural Networks for Reconstructing Nonlinear Dynamics from Neural Measurements
Daniel Durstewitz
The computational properties of neural systems are often thought to be implemented in terms of their network dynamics. Hence, recovering the system dynamics from experimentally obs…
Quantifying the behavioural relevance of hippocampal neurogenesis
Stanley E. Lazic, Johannes Fuss, Peter Gass
Few studies that examine the neurogenesis--behaviour relationship formally establish covariation between neurogenesis and behaviour or rule out competing explanations. The behaviou…