Moritz Helias

Forschungszentrum Jülich — Germany

Neuroscience · Life Sciences

28h-index2.4kcitations180works1.12yr avg
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Research Topics

Neural dynamics and brain function(116), stochastic dynamics and bifurcation(59), Neural Networks and Applications(39), Advanced Memory and Neural Computing(31), Functional Brain Connectivity Studies(24)

Publications177 total

Field theory for optimal signal propagation in residual networks
Physical review. E·2025Open Access
Beyond-mean-field fluctuations for the solution of constraint satisfaction problems
arXiv (Cornell University)·2025Open Access
Recurrent dynamics underlying transient neural representations
2025Open Access
Characterizing Neural Manifolds' Properties and Curvatures using Normalizing Flows
arXiv (Cornell University)·2025Open Access
Fixed point geometry in chaotic neural networks
Physical Review Research·2025· 1 citedOpen Access
Applications of Statistical Field Theory in Deep Learning
arXiv (Cornell University)·2025Open Access
From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning
arXiv (Cornell University)·2025Open Access
Field theory for optimal signal propagation in residual networks
JuSER Publikationsportal·2025Open Access
Linking network- and neuron-level correlations by renormalized field theory
Physical Review Research·2024· 6 citedOpen Access
Spurious self-feedback of mean-field predictions inflates infection curves
Physical review. E·2024Open Access
Critical feature learning in deep neural networks
arXiv (Cornell University)·2024Open Access
Effect of Synaptic Heterogeneity on Neuronal Coordination
PRX Life·2024· 4 citedOpen Access
Graph Neural Networks Do Not Always Oversmooth
arXiv (Cornell University)·2024· 3 citedOpen Access
Spurious self-feedback of mean-field predictions inflates infection curves
arXiv (Cornell University)·2023Open Access
Learning Interacting Theories from Data
Physical Review X·2023· 6 citedOpen Access
Linking Network and Neuron-level Correlations by Renormalized Field Theory
arXiv (Cornell University)·2023Open Access
Statistical temporal pattern extraction by neuronal architecture
Physical Review Research·2023Open Access
Effect of Synaptic Heterogeneity on Neuronal Coordination
arXiv (Cornell University)·2023Open Access
A theory of data variability in Neural Network Bayesian inference
arXiv (Cornell University)·2023Open Access
Speed Limits for Deep Learning
arXiv (Cornell University)·2023Open Access
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Frequent Co-authors

Markus Diesmann(28), David Dahmen(10), Susanne Kunkel(8), Stefan Rotter(8), Tom Tetzlaff(6), Jun Igarashi(6), Sonja Grün(6), Moritz Deger(6), Jannis Schuecker(5), Jochen Martin Eppler(4), Tomoki Fukai(4), Abigail Morrison(4), Tobias Kühn(4), Jakob Jordan(3), Maximilian Schmidt(3), Gen Masumoto(3), Shin Ishii(3), Johanna Senk(3), Alexander van Meegen(3), Gaute T. Einevoll(2)