Publikationen von A Levina

Yamamoto, H.; Spitzner, F.; Takemuro, T.; Buendía, V.; Murota, H.; Morante, C.; Konno, T.; Sato, S.; Hirano-Iwata, A.; Levina, A. et al.; Priesemann, V.; Muñoz, M.; Zierenberg, J.; Soriano, J.: Modular architecture facilitates noise-driven control of synchrony in neuronal networks. Science Advances 9 (34), eade1755 (2023)

Zeraati, R.; Shi, Y.-L.; Steinmetz, N.; Gieselmann, M.; Thiele, A.; Moore, T.; Levina, A.; Engel, T.: Intrinsic timescales in the visual cortex change with selective attention and reflect spatial connectivity. Nature Communications 14 (1), 1858 (2023)

Shi, Y.-L.; Zeraati, R.; Levina, A.; Engel, T.: Spatial and temporal correlations in neural networks with structured connectivity. Physical Review Research 5, 013005 (2023)

Levina, A.; Priesemann, V.; Zierenberg, J.: Tackling the subsampling problem to infer collective properties from limited data. Nature Reviews Physics 4 (12), S. 770 - 784 (2022)

Khajehabdollahi, S.; Prosi, J.; Giannakakis, E.; Martius, G.; Levina, A.: When to Be Critical? Performance and Evolvability in Different Regimes of Neural Ising Agents. Artificial Life 28 (4), S. 458 - 478 (2022)

Zeraati, R.; Engel, T.; Levina, A.: A flexible Bayesian framework for unbiased estimation of timescales. Nature Computational Science 2 (3), S. 193 - 204 (2022)

Fardet, T.; Levina, A.: Weighted directed clustering: interpretations and requirements for heterogeneous, inferred, and measured networks. Physical Review Research 3, 043124, S. 1 - 16 (2021)

Zeraati, R.; Priesemann, V.; Levina, A.: Self-organization toward criticality by synaptic plasticity. Frontiers in Physics 9, 619661, S. 1 - 17 (2021)

Sukenik, N.; Vinogradov, O.; Weinreb, E.; Segal, M.; Levina, A.; Moses, E.: Neuronal circuits overcome imbalance in excitation and inhibition by adjusting connection numbers. Proceedings of the National Academy of Sciences of the United States of America 118 (12), e2018459118 (2021)

Fardet, T.; Levina, A.: Simple models including energy and spike constraints reproduce complex activity patterns and metabolic disruptions. PLoS Computational Biology 16 (12), S. 1 - 22 (2020)

Zierenberg, J.; Wilting, J.; Priesemann, V.; Levina, A.: Tailored ensembles of neural networks optimize sensitivity to stimulus statistics. Physical Review Research 2, 013115, S. 1 - 9 (2020)

Zierenberg, J.; Wilting, J.; Priesemann, V.; Levina, A.: Description of spreading dynamics by microscopic network models and macroscopic branching processes can differ due to coalescence. Physical Review E 101 (2), 022301, S. 1 - 13 (2020)

Shi, D.; Levina, A.; Noori, H.: Refined parcellation of the nervous system by algorithmic detection of hidden features within communities. Physical Review E 100 (1), 012301, S. 1 - 14 (2019)

Das, A.; Levina, A.: Critical Neuronal Models with Relaxed Timescale Separation. Physical Review X 9, 021062, S. 1 - 11 (2019)

Levina, A.; Priesemann, V.: Subsampling scaling. Nature Communications 8, 15140 (2017)

Denker, M.; Levina, A.: Avalanche dynamics. Stochastics and Dynamics 16 (2), 1660005 (2016)

Effenberger; Jost, J.; Levina, A.: Self-organization in Balanced State Networks by STDP and Homeostatic Plasticity. PLoS Computational Biology 11 (9), e1004420 (2015)

Effenberger, F.; Jost, J.; Levina, A.: Self-organization in balanced state networks by STDP and homeostatic plasticity. PLoS Computational Biology 11 (9), S. 1 - 30 (2015)

Levina, A.; Herrmann, J.: The Abelian distribution. Stochastics and Dynamics 14 (3), 1450001 (2013)

Uhlig, M.; Levina, A.; Geisel, T.; Herrmann, J.: Critical dynamics in associative memory networks. Frontiers in Computational Neuroscience 7, 87 (2013)