Moritz Helias - RankMe

48 papers A* 4Journal 43Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A unified theory of feature learning in RNNs and DNNs. CoRR Jan P. Bauer, Kirsten Fischer, Moritz Helias, Agostina Palmigiano
2025	J	`jnl`	Applications of Statistical Field Theory in Deep Learning. CoRR Zohar Ringel, Noa Rubin, Edo Mor, Moritz Helias, Inbar Seroussi
2025	A*	`conf`	From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning. ICML Noa Rubin, Kirsten Fischer, Javed Lindner, Inbar Seroussi, Zohar Ringel, Michael Krämer, Moritz Helias
2025	J	`jnl`	From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning. CoRR Noa Rubin, Kirsten Fischer, Javed Lindner, David Dahmen, Inbar Seroussi, Zohar Ringel, Michael Krämer, Moritz Helias
2024	A*	`conf`	Critical feature learning in deep neural networks. ICML Kirsten Fischer, Javed Lindner, David Dahmen, Zohar Ringel, Michael Krämer, Moritz Helias
2024	A*	`conf`	Graph Neural Networks Do Not Always Oversmooth. NeurIPS Bastian Epping, Alexandre René, Moritz Helias, Michael T. Schaub
2024	J	`jnl`	Graph Neural Networks Do Not Always Oversmooth. CoRR Bastian Epping, Alexandre René, Moritz Helias, Michael T. Schaub
2023	J	`jnl`	A theory of data variability in Neural Network Bayesian inference. CoRR Javed Lindner, David Dahmen, Michael Krämer, Moritz Helias
2023	J	`jnl`	Neuronal architecture extracts statistical temporal patterns. CoRR Sandra Nestler, Moritz Helias, Matthieu Gilson
2023	J	`jnl`	Optimal signal propagation in ResNets through residual scaling. CoRR Kirsten Fischer, David Dahmen, Moritz Helias
2023	J	`jnl`	Speed Limits for Deep Learning. CoRR Inbar Seroussi, Alexander A. Alemi, Moritz Helias, Zohar Ringel
2022	J	`jnl`	NNMT: Mean-Field Based Analysis Tools for Neuronal Network Models. Frontiers Neuroinformatics Moritz Layer, Johanna Senk, Simon Essink, Alexander van Meegen, Hannah Bos, Moritz Helias
2022	J	`jnl`	Origami in N dimensions: How feed-forward networks manufacture linear separability. CoRR Christian Keup, Moritz Helias
2021	J	`jnl`	Event-Based Update of Synapses in Voltage-Based Learning Rules. Frontiers Neuroinformatics Jonas Stapmanns, Jan Hahne, Moritz Helias, Matthias Bolten, Markus Diesmann, David Dahmen
2020	J	`jnl`	Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions. Frontiers Neuroinformatics Jakob Jordan, Moritz Helias, Markus Diesmann, Susanne Kunkel
2020	J	`jnl`	The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks. PLoS Comput. Biol. Matthieu Gilson, David Dahmen, Rubén Moreno-Bote, Andrea Insabato, Moritz Helias
2020	A*	`conf`	Unfolding recurrence by Green's functions for optimized reservoir computing. NeurIPS Sandra Nestler, Christian Keup, David Dahmen, Matthieu Gilson, Holger Rauhut, Moritz Helias
2019	J	`jnl`	Capacity of the covariance perceptron. CoRR David Dahmen, Matthieu Gilson, Moritz Helias
2018	J	`jnl`	Corrigendum: Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers. Frontiers Neuroinformatics Jakob Jordan, Tammo Ippen, Moritz Helias, Itaru Kitayama, Mitsuhisa Sato, Jun Igarashi, Markus Diesmann, Susanne Kunkel
2018	J	`jnl`	Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers. Frontiers Neuroinformatics Jakob Jordan, Tammo Ippen, Moritz Helias, Itaru Kitayama, Mitsuhisa Sato, Jun Igarashi, Markus Diesmann, Susanne Kunkel
2018	J	`jnl`	The dynamics of error processing in the human brain as reflected by high-gamma activity in noninvasive and intracranial EEG. NeuroImage 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, Wolfram Burgard, Tonio Ball
2017	J	`jnl`	Bistability, non-ergodicity, and inhibition in pairwise maximum-entropy models. PLoS Comput. Biol. Vahid Rostami, PierGianLuca Porta Mana, Sonja Grün, Moritz Helias
2017	J	`jnl`	Fundamental Activity Constraints Lead to Specific Interpretations of the Connectome. PLoS Comput. Biol. Jannis Schuecker, Maximilian Schmidt, Sacha J. van Albada, Markus Diesmann, Moritz Helias
2017	J	`jnl`	Integration of Continuous-Time Dynamics in a Spiking Neural Network Simulator. Frontiers Neuroinformatics Jan Hahne, David Dahmen, Jannis Schuecker, Andreas Frommer, Matthias Bolten, Moritz Helias, Markus Diesmann
2017	J	`jnl`	Locking of correlated neural activity to ongoing oscillations. PLoS Comput. Biol. Tobias Kühn, Moritz Helias
2017	J	`jnl`	Perfect Detection of Spikes in the Linear Sub-threshold Dynamics of Point Neurons. Frontiers Neuroinformatics Jeyashree Krishnan, PierGianLuca Porta Mana, Moritz Helias, Markus Diesmann, Edoardo Di Napoli
2016	J	`jnl`	ASSET: Analysis of Sequences of Synchronous Events in Massively Parallel Spike Trains. PLoS Comput. Biol. Emiliano Torre, Carlos Canova, Michael Denker, George L. Gerstein, Moritz Helias, Sonja Grün
2016	J	`jnl`	Identifying Anatomical Origins of Coexisting Oscillations in the Cortical Microcircuit. PLoS Comput. Biol. Hannah Bos, Markus Diesmann, Moritz Helias
2015	J	`jnl`	A unified framework for spiking and gap-junction interactions in distributed neuronal network simulations. Frontiers Neuroinformatics Jan Hahne, Moritz Helias, Susanne Kunkel, Jun Igarashi, Matthias Bolten, Andreas Frommer, Markus Diesmann
2015	—	`conf`	Including Gap Junctions into Distributed Neuronal Network Simulations. BrainComp Jan Hahne, Moritz Helias, Susanne Kunkel, Jun Igarashi, Itaru Kitayama, Brian J. N. Wylie, Matthias Bolten, Andreas Frommer, Markus Diesmann
2015	J	`jnl`	Modeling the calcium spike as a threshold triggered fixed waveform for synchronous inputs in the fluctuation regime. Frontiers Comput. Neurosci. Yansong Chua, Moritz Helias, Abigail Morrison
2015	J	`jnl`	Scalability of Asynchronous Networks Is Limited by One-to-One Mapping between Effective Connectivity and Correlations. PLoS Comput. Biol. Sacha J. van Albada, Moritz Helias, Markus Diesmann
2014	J	`jnl`	Spiking network simulation code for petascale computers. Frontiers Neuroinformatics Susanne Kunkel, Maximilian Schmidt, Jochen Martin Eppler, Hans Ekkehard Plesser, Gen Masumoto, Jun Igarashi, Shin Ishii, Tomoki Fukai, Abigail Morrison, Markus Diesmann, Moritz Helias
2014	J	`jnl`	The Correlation Structure of Local Neuronal Networks Intrinsically Results from Recurrent Dynamics. PLoS Comput. Biol. Moritz Helias, Tom Tetzlaff, Markus Diesmann
2013	J	`jnl`	A unified view on weakly correlated recurrent networks. Frontiers Comput. Neurosci. Dmytro Grytskyy, Tom Tetzlaff, Markus Diesmann, Moritz Helias
2013	J	`jnl`	How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regime. Frontiers Comput. Neurosci. Birgit Kriener, Moritz Helias, Stefan Rotter, Markus Diesmann, Gaute T. Einevoll
2013	J	`jnl`	Noise Suppression and Surplus Synchrony by Coincidence Detection. PLoS Comput. Biol. Matthias Schultze-Kraft, Markus Diesmann, Sonja Grün, Moritz Helias
2012	J	`jnl`	Decorrelation of Neural-Network Activity by Inhibitory Feedback. PLoS Comput. Biol. Tom Tetzlaff, Moritz Helias, Gaute T. Einevoll, Markus Diesmann
2012	J	`jnl`	Spike-Timing Dependence of Structural Plasticity Explains Cooperative Synapse Formation in the Neocortex. PLoS Comput. Biol. Moritz Deger, Moritz Helias, Stefan Rotter, Markus Diesmann
2012	J	`jnl`	Statistical properties of superimposed stationary spike trains. J. Comput. Neurosci. Moritz Deger, Moritz Helias, Clemens Boucsein, Stefan Rotter
2012	J	`jnl`	Supercomputers Ready for Use as Discovery Machines for Neuroscience. Frontiers Neuroinformatics Moritz Helias, Susanne Kunkel, Gen Masumoto, Jun Igarashi, Jochen Martin Eppler, Shin Ishii, Tomoki Fukai, Abigail Morrison, Markus Diesmann
2010	J	`jnl`	A General and Efficient Method for Incorporating Precise Spike Times in Globally Time-Driven Simulations. Frontiers Neuroinformatics Alexander Hanuschkin, Susanne Kunkel, Moritz Helias, Abigail Morrison, Markus Diesmann
2010	J	`jnl`	Instantaneous Non-Linear Processing by Pulse-Coupled Threshold Units. PLoS Comput. Biol. Moritz Helias, Moritz Deger, Stefan Rotter, Markus Diesmann
2010	J	`jnl`	Run-Time Interoperability Between Neuronal Network Simulators Based on the MUSIC Framework. Neuroinformatics Mikael Djurfeldt, Johannes Hjorth, Jochen M. Eppler, Niraj Dudani, Moritz Helias, Tobias C. Potjans, Upinder S. Bhalla, Markus Diesmann, Jeanette Hellgren Kotaleski, Örjan Ekeberg
2009	J	`jnl`	Correlations in spiking neuronal networks with distance dependent connections. J. Comput. Neurosci. Birgit Kriener, Moritz Helias, Ad Aertsen, Stefan Rotter
2009	J	`jnl`	Equilibrium and response properties of the integrate-and-fire neuron in discrete time. Frontiers Comput. Neurosci. Moritz Helias, Moritz Deger, Markus Diesmann, Stefan Rotter
2008	J	`jnl`	PyNEST: a convenient interface to the NEST simulator. Frontiers Neuroinformatics Jochen M. Eppler, Moritz Helias, Eilif B. Müller, Markus Diesmann, Marc-Oliver Gewaltig
2008	J	`jnl`	Structural plasticity controlled by calcium based correlation detection. Frontiers Comput. Neurosci. Moritz Helias, Stefan Rotter, Marc-Oliver Gewaltig, Markus Diesmann