DD
David Dahmen
cond-mat.dis-nnneuroscienceq-bio.NCModels, Neurologicalstat.MLBraincs.LGcond-mat.stat-mechNerve NetNeurons
On Valency
published · living versionsW_xzbxbhnu·v1 · currentpublished
Hybrid scheme for modeling local field potentials from point-neuron networks
with Espen Hagen, Maria L. Stavrinou, Henrik Lindén, Tom Tetzlaff +4
1 version
Preprints & journals
49 papers in the corpus · 2015–2026Strong 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
Event-driven eligibility propagation in large sparse networks: efficiency shaped by biological realism2511.21674v1 · Agnes Korcsak-Gorzo, Jes'us A. Espinoza Valverde, Jonas Stapmanns et al.2025 · 0 citationsarXiv
Metastable Neural Assemblies on a Wiring-Weight Continuum10.64898/2026.03.16.712138v2 · Schmitt, F. J., Dahmen, D., Müller, F. L. et al.2026 · 0 citationsbioRxiv
How heterogeneity shapes dynamics and computation in the brain.41475350 · Dahmen, David, Hutt, Axel, Indiveri, Giacomo et al.2026 · 13 citationsNeuron. 2026;114(5):804-819
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
Identifying the impact of local connectivity patterns on dynamics in excitatory-inhibitory networks.39650608 · Shao, Yuxiu, Dahmen, David, Recanatesi, Stefano et al.2025 · 0 citationsArXiv. 2025
From Kernels to Features: A Multi-Scale Adaptive Theory of Feature Learning2502.03210v2 · Noa Rubin, Kirsten Fischer, Javed Lindner et al.2025 · 0 citationsarXiv
On the validity of electric brain signal predictions based on population firing rates.40228210 · Ness, Torbjørn V, Tetzlaff, Tom, Einevoll, Gaute T et al.2025 · 11 citationsPLoS computational biology. 2025;21(4):e1012303
Identifying the impact of local connectivity patterns on dynamics in excitatory-inhibitory networks2411.06802v3 · Yuxiu Shao, David Dahmen, Stefano Recanatesi et al.2024 · 2 citationsarXiv
On the validity of electric brain signal predictions based on population firing rates10.1101/2024.07.10.602833v1 · Ness, T. V., Tetzlaff, T., Einevoll, G. T. et al.2024 · 11 citationsbioRxiv
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)
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
Strong and localized recurrence controls dimensionality of neural activity across brain areas10.1101/2020.11.02.365072v5 · Dahmen, D., Recanatesi, S., Jia, X. et al.2020 · 32 citationsbioRxiv
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)
Signal denoising through topographic modularity of neural circuits.36700545 · Zajzon, Barna, Dahmen, David, Morrison, Abigail et al.2023 · 3 citationseLife. 2023;12
Signal denoising through topographic modularity of neural circuits10.1101/2022.01.10.475681v2 · Zajzon, B., Dahmen, D., Morrison, A. et al.2022 · 3 citationsbioRxiv
Unified field theoretical approach to deep and recurrent neuronal networks2112.05589v3 · Kai Segadlo, Bastian Epping, Alexander van Meegen et al.2021 · 19 citationsarXiv
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
Statistical field theory for neural networks1901.10416v1 · Moritz Helias, David Dahmen2019 · 91 citationsarXiv
Hybrid scheme for modeling local field potentials from point-neuron networks1511.01681v2 · Espen Hagen, David Dahmen, Maria L. Stavrinou et al.2015 · 105 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
Global organization of neuronal activity only requires unstructured local connectivity.35049496 · Dahmen, David, Layer, Moritz, Deutz, Lukas et al.2022 · 34 citationseLife. 2022;11
On the Complexity of Resting State Spiking Activity in Monkey Motor Cortex.34296183 · Dąbrowska, Paulina Anna, Voges, Nicole, von Papen, Michael et al.2021 · 23 citationsCerebral cortex communications. 2021;2(3):tgab033
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
Capacity of the covariance perceptron1912.00824v2 · David Dahmen, Matthieu Gilson, Moritz Helias2019 · 8 citationsJournal of Physics A: Mathematical and Theoretical 53 (2020) 354002
The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks10.1101/562546v4 · Gilson, M., Dahmen, D., Moreno-Bote, R. et al.2019 · 23 citationsbioRxiv
On the complexity of resting state spiking activity in monkey motor cortex10.1101/2020.05.28.121095v1 · Dabrowska, P. A., Voges, N., von Papen, M. et al.2020 · 23 citationsbioRxiv
Distributions of covariances as a window into the operational regime of neuronal networks1605.04153v1 · David Dahmen, Markus Diesmann, Moritz Helias2016 · 130 citationsPNAS 116 (26) 13051-13060 (2019)
Integration of continuous-time dynamics in a spiking neural network simulator1610.09990v1 · Jan Hahne, David Dahmen, Jannis Schuecker et al.2016 · 26 citationsarXiv
Correlated fluctuations in strongly-coupled binary networks beyond equilibrium1512.01073v1 · David Dahmen, Hannah Bos, Moritz Helias2015 · 22 citationsPhys. Rev. X 6, 031024 (2016)
Functional methods for disordered neural networks1605.06758v2 · Jannis Schuecker, Sven Goedeke, David Dahmen et al.2016 · 15 citationsarXiv
Career total: 95 works. 49 are in this corpus.Showing the 42 most recent.
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