MH
Moritz Helias
cond-mat.dis-nnq-bio.NCModels, Neurologicalcs.LGstat.MLcond-mat.stat-mechcomputational neurosciencelarge-scale simulationneuroscienceparallel computing
On Valency
published · living versionsW_xbth7yzk·v1 · currentpublished
Non-equilibrium dynamics of stochastic point processes with refractoriness
with Moritz Deger, Stefano Cardanobile, Fatihcan M. Atay, Stefan Rotter
1 version
Preprints & journals
112 papers in the corpus · 2009–2026Strong and localized recurrence controls the dimensionality of neural activity across brain areas.42618754 · Dahmen, David, Recanatesi, Stefano, Jia, Xiaoxuan et al.2026 · 29 citationsNature neuroscience. 2026;29(10):2578-2587
Characterizing Neural Manifolds' Properties and Curvatures using Normalizing Flows2506.12187v2 · Peter Bouss, Sandra Nestler, Kirsten Fischer et al.2025 · 0 citationsPRX Life 4, 023009 (2026)
Phase Transitions in Attention: A Bayesian Theory of Copy Head Emergence2606.12058v1 · Itay Lavie, Kirsten Fischer, Andrey Lekov et al.2026 · 0 citationsarXiv
Discrete signaling mediates chaotic regularization in recurrent neural networks2606.04426v1 · Jan Bauer, Christian Keup, Jonathan Kadmon et al.2026 · 0 citationsarXiv
Dynamics of neural scaling laws in random feature regression with powerlaw-distributed kernel eigenvalues2602.23039v2 · Jakob Kramp, Javed Lindner, Moritz Helias2026 · 0 citationsarXiv
A unified theory of feature learning in RNNs and DNNs2602.15593v1 · Jan P. Bauer, Kirsten Fischer, Moritz Helias et al.2026 · 0 citationsarXiv
Lecture notes: From Gaussian processes to feature learning2602.12855v1 · Moritz Helias, Javed Lindner, Lars Schutzeichel et al.2026 · 0 citationsarXiv
Field theory for optimal signal propagation in residual networks.41560221 · Fischer, Kirsten, Dahmen, David, Helias, Moritz2026 · 0 citationsPhysical review. E. 2025;112(6-2):065301
Beyond-mean-field fluctuations for the solution of constraint satisfaction problems2507.10360v3 · Niklas Foos, Bastian Epping, Jannik Grundler et al.2025 · 0 citationsarXiv
Field theory for optimal signal propagation in ResNets2305.07715v3 · Kirsten Fischer, David Dahmen, Moritz Helias2023 · 1 citationarXiv
Recurrent dynamics underlying transient neural representations10.1101/2025.06.17.659440v2 · Schutzeichel, L., Bauer, J., Bouss, P. et al.2025 · 0 citationsbioRxiv
From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning2502.03210v2 · Noa Rubin, Kirsten Fischer, Javed Lindner et al.2025 · 0 citationsarXiv
Graph Neural Networks Do Not Always Oversmooth2406.02269v2 · Bastian Epping, Alexandre Ren'e, Moritz Helias et al.2024 · 3 citationsAdvances in Neural Information Processing Systems 37 (NeurIPS 2024)
Applications of Statistical Field Theory in Deep Learning2502.18553v3 · Zohar Ringel, Noa Rubin, Edo Mor et al.2025 · 0 citationsarXiv
Spurious self-feedback of mean-field predictions inflates infection curves.39295033 · Merger, Claudia, Albers, Jasper, Honerkamp, Carsten et al.2024 · 0 citationsPhysical review. E. 2024;110(2-1):024308
Computational Neuroscience: Mathematical and Statistical Perspectives.30976604 · Kass, Robert E, Amari, Shun-Ichi, Arai, Kensuke et al.2024 · 65 citationsAnnual review of statistics and its application. 2018;5:183-214
Critical feature learning in deep neural networks2405.10761v1 · Kirsten Fischer, Javed Lindner, David Dahmen et al.2024 · 0 citationsarXiv
Effect of Synaptic Heterogeneity on Neuronal Coordination2308.00421v3 · Moritz Layer, Moritz Helias, David Dahmen2023 · 8 citationsPRX Life, 2, 013013 (2024)
Linking Network and Neuron-level Correlations by Renormalized Field Theory2309.14973v2 · Michael Dick, Alexander van Meegen, Moritz Helias2023 · 8 citationsarXiv
Spurious self-feedback of mean-field predictions inflates infection curves2312.14851v1 · Claudia Merger, Jasper Albers, Carsten Honerkamp et al.2023 · 0 citationsarXiv
The Distribution of Unstable Fixed Points in Chaotic Neural Networks2210.07877v3 · Jakob Stubenrauch, Christian Keup, Anno C. Kurth et al.2022 · 2 citationsarXiv
A theory of data variability in Neural Network Bayesian inference2307.16695v2 · Javed Lindner, David Dahmen, Michael Kramer et al.2023 · 0 citationsarXiv
Hidden connectivity structures control collective network dynamics2303.02476v3 · Lorenzo Tiberi, David Dahmen, Moritz Helias2023 · 1 citationarXiv
NNMT: Mean-Field Based Analysis Tools for Neuronal Network Models.35712677 · Layer, Moritz, Senk, Johanna, Essink, Simon et al.2023 · 12 citationsFrontiers in neuroinformatics. 2022;16:835657
Neuronal architecture extracts statistical temporal patterns2301.10203v1 · Sandra Nestler, Moritz Helias, Matthieu Gilson2023 · 1 citationarXiv
Speed Limits for Deep Learning2307.14653v1 · Inbar Seroussi, Alexander A. Alemi, Moritz Helias et al.2023 · 0 citationsarXiv
Learning Interacting Theories from Data2304.00599v2 · Claudia Merger, Alexandre Ren'e, Kirsten Fischer et al.2023 · 8 citationsarXiv
Decomposing neural networks as mappings of correlation functions2202.04925v2 · Kirsten Fischer, Alexandre Ren'e, Christian Keup et al.2022 · 12 citationsPhys. Rev. Research 4, 043143 (2022)
Unified field theoretical approach to deep and recurrent neuronal networks2112.05589v3 · Kai Segadlo, Bastian Epping, Alexander van Meegen et al.2021 · 19 citationsarXiv
Conditions for wave trains in spiking neural networks1801.06046v2 · Johanna Senk, Karol'ina Korvasov'a, Jannis Schuecker et al.2018 · 28 citationsPhys. Rev. Research 2, 023174 (2020)
Erratum: Self-consistent formulations for stochastic nonlinear neuronal dynamics [Phys. Rev. E 101, 042124 (2020)].35706324 · Stapmanns, Jonas, Kühn, Tobias, Dahmen, David et al.2022 · 0 citationsPhysical review. E. 2022;105(5-2):059901
The perfect integrator driven by Poisson input and its approximation in the diffusion limit1010.3537v2 · Moritz Helias, Moritz Deger, Stefan Rotter et al.2010 · 10 citationsarXiv
Statistical field theory for neural networks1901.10416v1 · Moritz Helias, David Dahmen2019 · 91 citationsarXiv
The correlation structure of local cortical networks intrinsically results from recurrent dynamics1304.2149v3 · Moritz Helias, Tom Tetzlaff, Markus Diesmann2013 · 122 citationsarXivon Valency
A unified view on weakly correlated recurrent networks1304.7945v2 · Dmytro Grytskyy, Tom Tetzlaff, Markus Diesmann et al.2013 · 76 citationsarXivon Valency
Gell-Mann-Low criticality in neural networks2110.01859v1 · Lorenzo Tiberi, Jonas Stapmanns, Tobias Kuhn et al.2021 · 22 citationsarXiv
Self-consistent formulations for stochastic nonlinear neuronal dynamics1812.09345v6 · Jonas Stapmanns, Tobias Kuhn, David Dahmen et al.2018 · 15 citationsPhys. Rev. E 101, 042124 (2020)
Event-based update of synapses in voltage-based learning rules2009.08667v2 · Jonas Stapmanns, Jan Hahne, Moritz Helias et al.2020 · 5 citationsarXiv
Origami in N dimensions: How feed-forward networks manufacture linear separability2203.11355v1 · Christian Keup, Moritz Helias2022 · 0 citationsarXiv
Global organization of neuronal activity only requires unstructured local connectivity.35049496 · Dahmen, David, Layer, Moritz, Deutz, Lukas et al.2022 · 34 citationseLife. 2022;11
A mean-field toolbox for spiking neuronal network model analysis10.1101/2021.12.14.472584v1 · Layer, M., Senk, J., Essink, S. et al.2021 · 0 citationsbioRxiv
Large Deviations Approach to Random Recurrent Neuronal Networks: Parameter Inference and Fluctuation-Induced Transitions2009.08889v3 · Alexander van Meegen, Tobias Kuhn, Moritz Helias2020 · 18 citationsPhys. Rev. Lett. 127, 158302 (2021)
Global hierarchy vs. local structure: spurious self-feedback in scale-free networks2105.04437v1 · Claudia Merger, Timo Reinartz, Stefan Wessel et al.2021 · 1 citationPhys. Rev. Research 3, 033272 (2021)
Transient chaotic dimensionality expansion by recurrent networks2002.11006v4 · Christian Keup, Tobias Kuhn, David Dahmen et al.2020 · 27 citationsPhys. Rev. X 11, 021064 (2021)
Unfolding recurrence by Green's functions for optimized reservoir computing2010.06247v2 · Sandra Nestler, Christian Keup, David Dahmen et al.2020 · 1 citationAdvances in Neural Information Processing Systems 33 (NeurIPS 2020), 17380--17390
Global organization of neuronal activity only requires unstructured local connectivity10.1101/2020.07.15.205013v3 · Dahmen, D., Layer, M., Deutz, L. et al.2020 · 34 citationsbioRxiv
The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks.33044953 · Gilson, Matthieu, Dahmen, David, Moreno-Bote, Rubén et al.2021 · 23 citationsPLoS computational biology. 2020;16(10):e1008127
Momentum-dependence in the infinitesimal Wilsonian renormalization group2004.00924v2 · Moritz Helias2020 · 1 citationarXiv
Corrigendum: Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers.30008668 · Jordan, Jakob, Ippen, Tammo, Helias, Moritz et al.2020 · 10 citationsFrontiers in neuroinformatics. 2018;12:34
Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers.29503613 · Jordan, Jakob, Ippen, Tammo, Helias, Moritz et al.2020 · 132 citationsFrontiers in neuroinformatics. 2018;12:2
Career total: 204 works. 112 are in this corpus.Showing the 50 most recent.
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