Structural plasticity controlled by calcium based correlation detection. - Moritz Helias; Stefan Rotter; Marc-Oliver Gewaltig; Markus Diesmann (Frontiers Comput. Neurosci., 2008)

PyNEST: a convenient interface to the NEST simulator. - Jochen M. Eppler; Moritz Helias; Eilif B. Müller; Markus Diesmann; Marc-Oliver Gewaltig (Frontiers Neuroinformatics, 2008)

Equilibrium and response properties of the integrate-and-fire neuron in discrete time. - Moritz Helias; Moritz Deger; Markus Diesmann; Stefan Rotter (Frontiers Comput. Neurosci., 2009)

Correlations in spiking neuronal networks with distance dependent connections. - Birgit Kriener; Moritz Helias; Ad Aertsen; Stefan Rotter (J. Comput. Neurosci., 2009)

A General and Efficient Method for Incorporating Precise Spike Times in Globally Time-Driven Simulations. - Alexander Hanuschkin; Susanne Kunkel; Moritz Helias; Abigail Morrison; Markus Diesmann (Frontiers Neuroinformatics, 2010)

Run-Time Interoperability Between Neuronal Network Simulators Based on the MUSIC Framework. - Mikael Djurfeldt; Johannes Hjorth; Jochen M. Eppler; Niraj Dudani; Moritz Helias; Tobias C. Potjans; Upinder S. Bhalla; Markus Diesmann; Jeanette Hellgren Kotaleski; Örjan Ekeberg (Neuroinformatics, 2010)

Instantaneous Non-Linear Processing by Pulse-Coupled Threshold Units. - Moritz Helias; Moritz Deger; Stefan Rotter; Markus Diesmann (PLoS Comput. Biol., 2010)

Supercomputers Ready for Use as Discovery Machines for Neuroscience. - Moritz Helias; Susanne Kunkel; Gen Masumoto; Jun Igarashi; Jochen Martin Eppler; Shin Ishii; Tomoki Fukai; Abigail Morrison; Markus Diesmann (Frontiers Neuroinformatics, 2012)

Statistical properties of superimposed stationary spike trains. - Moritz Deger; Moritz Helias; Clemens Boucsein; Stefan Rotter (J. Comput. Neurosci., 2012)

Spike-Timing Dependence of Structural Plasticity Explains Cooperative Synapse Formation in the Neocortex. - Moritz Deger; Moritz Helias; Stefan Rotter; Markus Diesmann (PLoS Comput. Biol., 2012)

Decorrelation of Neural-Network Activity by Inhibitory Feedback. - Tom Tetzlaff; Moritz Helias; Gaute T. Einevoll; Markus Diesmann (PLoS Comput. Biol., 2012)

A unified view on weakly correlated recurrent networks. - Dmytro Grytskyy; Tom Tetzlaff; Markus Diesmann; Moritz Helias (Frontiers Comput. Neurosci., 2013)

How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regime. - Birgit Kriener; Moritz Helias; Stefan Rotter; Markus Diesmann; Gaute T. Einevoll (Frontiers Comput. Neurosci., 2013)

Noise Suppression and Surplus Synchrony by Coincidence Detection. - Matthias Schultze-Kraft; Markus Diesmann; Sonja Grün; Moritz Helias (PLoS Comput. Biol., 2013)

Spiking network simulation code for petascale computers. - Susanne Kunkel; Maximilian Schmidt; Jochen Martin Eppler; Hans Ekkehard Plesser; Gen Masumoto; Jun Igarashi; Shin Ishii; Tomoki Fukai; Abigail Morrison; Markus Diesmann; Moritz Helias (Frontiers Neuroinformatics, 2014)

The Correlation Structure of Local Neuronal Networks Intrinsically Results from Recurrent Dynamics. - Moritz Helias; Tom Tetzlaff; Markus Diesmann (PLoS Comput. Biol., 2014)

Including Gap Junctions into Distributed Neuronal Network Simulations. - Jan Hahne; Moritz Helias; Susanne Kunkel; Jun Igarashi; Itaru Kitayama; Brian J. N. Wylie; Matthias Bolten; Andreas Frommer; Markus Diesmann (BrainComp, 2015)

Modeling the calcium spike as a threshold triggered fixed waveform for synchronous inputs in the fluctuation regime. - Yansong Chua; Moritz Helias; Abigail Morrison (Frontiers Comput. Neurosci., 2015)

A unified framework for spiking and gap-junction interactions in distributed neuronal network simulations. - Jan Hahne; Moritz Helias; Susanne Kunkel; Jun Igarashi; Matthias Bolten; Andreas Frommer; Markus Diesmann (Frontiers Neuroinformatics, 2015)

Scalability of Asynchronous Networks Is Limited by One-to-One Mapping between Effective Connectivity and Correlations. - Sacha J. van Albada; Moritz Helias; Markus Diesmann (PLoS Comput. Biol., 2015)

Identifying Anatomical Origins of Coexisting Oscillations in the Cortical Microcircuit. - Hannah Bos; Markus Diesmann; Moritz Helias (PLoS Comput. Biol., 2016)

ASSET: Analysis of Sequences of Synchronous Events in Massively Parallel Spike Trains. - Emiliano Torre; Carlos Canova; Michael Denker; George L. Gerstein; Moritz Helias; Sonja Grün (PLoS Comput. Biol., 2016)

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)

Perfect Detection of Spikes in the Linear Sub-threshold Dynamics of Point Neurons. - Jeyashree Krishnan; PierGianLuca Porta Mana; Moritz Helias; Markus Diesmann; Edoardo Di Napoli (Frontiers Neuroinformatics, 2017)

Locking of correlated neural activity to ongoing oscillations. - Tobias Kühn; Moritz Helias (PLoS Comput. Biol., 2017)

Bistability, non-ergodicity, and inhibition in pairwise maximum-entropy models. - Vahid Rostami; PierGianLuca Porta Mana; Sonja Grün; Moritz Helias (PLoS Comput. Biol., 2017)

Fundamental Activity Constraints Lead to Specific Interpretations of the Connectome. - Jannis Schuecker; Maximilian Schmidt; Sacha J. van Albada; Markus Diesmann; Moritz Helias (PLoS Comput. Biol., 2017)

Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers. - Jakob Jordan; Tammo Ippen; Moritz Helias; Itaru Kitayama; Mitsuhisa Sato; Jun Igarashi; Markus Diesmann; Susanne Kunkel (Frontiers Neuroinformatics, 2018)

Corrigendum: Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers. - Jakob Jordan; Tammo Ippen; Moritz Helias; Itaru Kitayama; Mitsuhisa Sato; Jun Igarashi; Markus Diesmann; Susanne Kunkel (Frontiers Neuroinformatics, 2018)

The dynamics of error processing in the human brain as reflected by high-gamma activity in noninvasive and intracranial EEG. - Martin Völker; Lukas Dominique Josef Fiederer; Sofie Berberich; Jirí Hammer; Joos Behncke; Pavel Krsek; Martin Tomásek; Petr Marusic; Peter C. Reinacher; Volker A. Coenen; Moritz Helias; Andreas Schulze-Bonhage; et al. (NeuroImage, 2018)

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)

Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions. - Jakob Jordan; Moritz Helias; Markus Diesmann; Susanne Kunkel (Frontiers Neuroinformatics, 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)

Origami in N dimensions: How feed-forward networks manufacture linear separability. - Christian Keup; Moritz Helias (CoRR, 2022)

NNMT: Mean-Field Based Analysis Tools for Neuronal Network Models. - Moritz Layer; Johanna Senk; Simon Essink; Alexander van Meegen; Hannah Bos; Moritz Helias (Frontiers Neuroinformatics, 2022)

Neuronal architecture extracts statistical temporal patterns. - Sandra Nestler; Moritz Helias; Matthieu Gilson (CoRR, 2023)

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

Speed Limits for Deep Learning. - Inbar Seroussi; Alexander A. Alemi; Moritz Helias; Zohar Ringel (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)

Graph Neural Networks Do Not Always Oversmooth. - Bastian Epping; Alexandre René; Moritz Helias; Michael T. Schaub (NeurIPS, 2024)

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)

Applications of Statistical Field Theory in Deep Learning. - Zohar Ringel; Noa Rubin; Edo Mor; Moritz Helias; Inbar Seroussi (CoRR, 2025)