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M. Helias · SciRah

Researcher profile · Semantic Scholar

M. Helias

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M. Helias — researcher profile on SciRah

h-index: 31
Works: 192
Citations: 3,374

Most-cited papers

Statistical Field Theory for Neural Networks
M. Helias, David Dahmen
2019Lecture Notes in Physics130 citations Open access
Semantic Scholar
Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers
Jakob Jordan, Tammo Ippen, M. Helias, Itaru Kitayama +4 more
2018Front. Neuroinform.130 citations Open access
Semantic Scholar
25th Annual Computational Neuroscience Meeting: CNS-2016
T. Sharpee, A. Destexhe, M. Kawato, Vladislav Sekulić +496 more
2016BMC Neuroscience93 citations Open access
Semantic Scholar
Computational Neuroscience: Mathematical and Statistical Perspectives
R. Kass, S. Amari, Kensuke Arai, E. Brown +21 more
2017Annual Review of Statistics and Its Application68 citations Open access
Semantic Scholar
The Dynamics of Error Processing in the Human Brain as Reflected by High-Gamma Activity in Noninvasive and Intracranial EEG
M. Völker, L. Fiederer, S. Berberich, J. Hammer +10 more
2017bioRxiv45 citations Open access
Semantic Scholar
ASSET: Analysis of Sequences of Synchronous Events in Massively Parallel Spike Trains
E. Torre, Carlos Canova, M. Denker, G. Gerstein +2 more
2016PLoS Comput. Biol.36 citations Open access
Semantic Scholar
Unified field theoretical approach to deep and recurrent neuronal networks
Kai Segadlo, Bastian Epping, Alexander van Meegen, David Dahmen +2 more
2021Journal of Statistical Mechanics: Theory and Experiment31 citations Open access
Semantic Scholar
Transient Chaotic Dimensionality Expansion by Recurrent Networks
Christian Keup, Tobias Kühn, David Dahmen, M. Helias
202031 citations Open access
Semantic Scholar
Strong and localized recurrence controls dimensionality of neural activity across brain areas
David Dahmen, Stefano Recanatesi, Xiao-Xuan Jia, G. K. Ocker +5 more
2020bioRxiv31 citations Open access
Semantic Scholar
Global organization of neuronal activity only requires unstructured local connectivity
David Dahmen, Moritz Layer, L. Deutz, P. Dąbrowska +7 more
2022eLife29 citations Open access
Semantic Scholar
Conditions for wave trains in spiking neural networks
Johanna Senk, Karolína Korvasová, Jannis Schuecker, Espen Hagen +3 more
2018Physical Review Research27 citations Open access
Semantic Scholar
Graph Neural Networks Do Not Always Oversmooth
Bastian Epping, Alexandre Ren'e, M. Helias, Michael T. Schaub
2024Neural Information Processing Systems22 citations
Semantic Scholar
Decomposing neural networks as mappings of correlation functions
Kirsten Fischer, A. Ren'e, Christian Keup, Moritz Layer +2 more
2022Physical Review Research20 citations Open access
Semantic Scholar
Critical feature learning in deep neural networks
Kirsten Fischer, Javed Lindner, David Dahmen, Z. Ringel +2 more
2024International Conference on Machine Learning18 citations
Semantic Scholar
Gell-Mann-Low Criticality in Neural Networks.
Lorenzo Tiberi, Jonas Stapmanns, Tobias Kühn, T. Luu +2 more
2021Physical Review Letters18 citations Open access
Semantic Scholar
From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning
Noa Rubin, Kirsten Fischer, Javed Lindner, David Dahmen +4 more
2025International Conference on Machine Learning17 citations
Semantic Scholar
Large-Deviation Approach to Random Recurrent Neuronal Networks: Parameter Inference and Fluctuation-Induced Transitions.
Alexander van Meegen, Tobias Kühn, M. Helias
2020Physical Review Letters16 citations Open access
Semantic Scholar
Strong coupling and local control of dimensionality across brain areas
David Dahmen, Stefano Recanatesi, G. K. Ocker, Xiao-Xuan Jia +2 more
202016 citations
Semantic Scholar
Self-consistent formulations for stochastic nonlinear neuronal dynamics.
Jonas Stapmanns, Tobias Kühn, David Dahmen, T. Luu +2 more
2018Physical Review E16 citations Open access
Semantic Scholar
Spectral bandwidth of interictal fast epileptic activity characterizes the seizure onset zone
M. Heers, M. Helias, T. Hedrich, M. Dümpelmann +2 more
2017NeuroImage: Clinical16 citations Open access
Semantic Scholar
Applications of Statistical Field Theory in Deep Learning
Z. Ringel, Noa Rubin, Edo Mor, M. Helias +1 more
2025arXiv.org15 citations
Semantic Scholar
The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks
M. Gilson, David Dahmen, Rubén Moreno-Bote, Andrea Insabato +1 more
2019bioRxiv14 citations Open access
Semantic Scholar
Effect of Synaptic Heterogeneity on Neuronal Coordination
Moritz Layer, M. Helias, David Dahmen
2023PRX Life12 citations Open access
Semantic Scholar
Origami in N dimensions: How feed-forward networks manufacture linear separability
Christian Keup, M. Helias
2022arXiv.org10 citations Open access
Semantic Scholar
Corrigendum: Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers
Jakob Jordan, Tammo Ippen, M. Helias, Itaru Kitayama +4 more
2018Front. Neuroinform.10 citations Open access
Semantic Scholar
26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2
L. Rubchinsky, Sungwoo Ahn, W. Klijn, Benjamin Cumming +456 more
2017BMC Neuroscience10 citations Open access
Semantic Scholar
Fixed point geometry in chaotic neural networks
Jakob Stubenrauch, Christian Keup, A. Kurth, M. Helias +1 more
2025Physical Review Research9 citations Open access
Semantic Scholar
Linking network- and neuron-level correlations by renormalized field theory
Michael Dick, Alexander van Meegen, M. Helias
2023Physical Review Research9 citations Open access
Semantic Scholar
Learning Interacting Theories from Data
C. Merger, A. Ren'e, Kirsten Fischer, Peter Bouss +4 more
2023Physical Review X9 citations Open access
Semantic Scholar
Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions
Jakob Jordan, M. Helias, M. Diesmann, Susanne Kunkel
2020Frontiers in Neuroinformatics9 citations Open access
Semantic Scholar
Perfect Detection of Spikes in the Linear Sub-threshold Dynamics of Point Neurons
J. Krishnan, PierGianLuca Porta-Mana, M. Helias, M. Diesmann +1 more
2017Front. Neuroinform.9 citations Open access
Semantic Scholar
M ar 2 01 8 Two types of criticality in the brain
David Dahmen, S. Grün, M. Diesmann, M. Helias
20188 citations
Semantic Scholar
Renormalization group for deep neural networks: Universality of learning and scaling laws
Gorka Peraza Coppola, M. Helias, Z. Ringel
20257 citations
Semantic Scholar
Field theory for optimal signal propagation in ResNets
Kirsten Fischer, David Dahmen, M. Helias
20237 citations
Semantic Scholar
NNMT: Mean-Field Based Analysis Tools for Neuronal Network Models
Moritz Layer, Johanna Senk, Simon Essink, Alexander van Meegen +2 more
2022Frontiers in Neuroinformatics7 citations Open access
Semantic Scholar
Expansion of the effective action around non-Gaussian theories
Tobias Kühn, M. Helias
2017Journal of Physics A: Mathematical and Theoretical7 citations Open access
Semantic Scholar
The Distribution of Unstable Fixed Points in Chaotic Neural Networks
Jakob Stubenrauch, Christian Keup, A. Kurth, M. Helias +1 more
20226 citations
Semantic Scholar
Capacity of the covariance perceptron
David Dahmen, M. Gilson, M. Helias
2019Journal of Physics A: Mathematical and Theoretical6 citations Open access
Semantic Scholar
A unified theory of feature learning in RNNs and DNNs
Jan Bauer, Kirsten Fischer, M. Helias, Agostina Palmigiano
2026arXiv.org5 citations
Semantic Scholar
A theory of data variability in Neural Network Bayesian inference
Javed Lindner, David Dahmen, Michael Krämer, M. Helias
2023arXiv.org5 citations Open access
Semantic Scholar
Strong and localized coupling controls dimensionality of neural activity across brain areas
David Dahmen, Stefano Recanatesi, Xiao-Xuan Jia, G. K. Ocker +5 more
20215 citations
Semantic Scholar
Unfolding recurrence by Green's functions for optimized reservoir computing
Sandra Nestler, Christian Keup, David Dahmen, M. Gilson +2 more
2020Neural Information Processing Systems4 citations
Semantic Scholar
Event-Based Update of Synapses in Voltage-Based Learning Rules
Jonas Stapmanns, Jan Hahne, M. Helias, M. Bolten +2 more
2020Frontiers in Neuroinformatics4 citations Open access
Semantic Scholar
Hidden connectivity structures control collective network dynamics
Lorenzo Tiberi, David Dahmen, M. Helias
20233 citations
Semantic Scholar
The Brain—as Critical as Possible
M. Helias
20213 citations
Semantic Scholar
Lecture notes: From Gaussian processes to feature learning
M. Helias, Javed Lindner, Lars Schutzeichel, Z. Ringel
20262 citations
Semantic Scholar
Dynamics of neural scaling laws in random feature regression with powerlaw-distributed kernel eigenvalues
Jakob Kramp, Javed Lindner, M. Helias
20262 citations
Semantic Scholar
Long-range coordination patterns in cortex change with behavioral context
David Dahmen, Moritz Layer, L. Deutz, P. Dąbrowska +7 more
2020bioRxiv2 citations Open access
Semantic Scholar
Perturbation Theory for Stochastic Differential Equations
M. Helias, David Dahmen
20202 citations
Semantic Scholar
Phase Transitions in Attention: A Bayesian Theory of Copy Head Emergence
Itay Lavie, Kirsten Fischer, A. Lekov, Frederic Van Maele +2 more
2026arXiv.org1 citations
Semantic Scholar

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