Expert Memory in Blindfold Chess960 - An Interpretation in the light of LIDA. - Eduardo Bermúdez; David Dahmen; Henry Gonzalez (CogSci, 2012)

Integration of Continuous-Time Dynamics in a Spiking Neural Network Simulator. - Jan Hahne; David Dahmen; Jannis Schuecker; Andreas Frommer; Matthias Bolten; Moritz Helias; Markus Diesmann (Frontiers Neuroinformatics, 2017)

Capacity of the covariance perceptron. - David Dahmen; Matthieu Gilson; Moritz Helias (CoRR, 2019)

Unfolding recurrence by Green's functions for optimized reservoir computing. - Sandra Nestler; Christian Keup; David Dahmen; Matthieu Gilson; Holger Rauhut; Moritz Helias (NeurIPS, 2020)

The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks. - Matthieu Gilson; David Dahmen; Rubén Moreno-Bote; Andrea Insabato; Moritz Helias (PLoS Comput. Biol., 2020)

Event-Based Update of Synapses in Voltage-Based Learning Rules. - Jonas Stapmanns; Jan Hahne; Moritz Helias; Matthias Bolten; Markus Diesmann; David Dahmen (Frontiers Neuroinformatics, 2021)

Optimal signal propagation in ResNets through residual scaling. - Kirsten Fischer; David Dahmen; Moritz Helias (CoRR, 2023)

A theory of data variability in Neural Network Bayesian inference. - Javed Lindner; David Dahmen; Michael Krämer; Moritz Helias (CoRR, 2023)

Critical feature learning in deep neural networks. - Kirsten Fischer; Javed Lindner; David Dahmen; Zohar Ringel; Michael Krämer; Moritz Helias (ICML, 2024)

Identifying the impact of local connectivity patterns on dynamics in excitatory-inhibitory networks. - Yuxiu Shao; David Dahmen; Stefano Recanatesi; Eric Shea-Brown; Srdjan Ostojic (CoRR, 2024)

On the validity of electric brain signal predictions based on population firing rates. - Torbjørn V. Ness; Tom Tetzlaff; Gaute T. Einevoll; David Dahmen (PLoS Comput. Biol., 2025)

From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning. - Noa Rubin; Kirsten Fischer; Javed Lindner; David Dahmen; Inbar Seroussi; Zohar Ringel; Michael Krämer; Moritz Helias (CoRR, 2025)