Publications

A Spieler, N Rahaman, G Martius, B Schölkopf, A Levina (2024). The ELM Neuron: an Efficient and Expressive Cortical Neuron Model Can Solve Long-Horizon Tasks. ICLR 2024
S Khajehabdollahi, R Zeraati, E Giannakakis, TJ Schäfer, G  Martius, A Levina. (2024). Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks. ICLR 2024

H Yamamoto, FP Spitzner, T Takemuro, V Buendía, H Murota, C Morante, T Kunno, S Sato, A Hirano-Iwata, A Levina, V Priesemann, MA Muñoz, J Zierenberg, J Soriano (2023). Modular architecture facilitates noise-driven control of synchrony in neuronal networks. Science advances, 9(34).
R Zeraati, YL Shi, NA Steinmetz, MA Gieselmann, A Thiele, T Moore, A Levina*, TA Engel* (2023). Intrinsic timescales in the visual cortex change with selective attention and reflect spatial connectivity, Nature communications, 14(1), 1858.
A Das, M Denker, A Levina, L Tabacu (2023) A Monte Carlo algorithm for multiple stochastic integrals of stable processes, Stochastics and Dynamics
YL Shi, R Zeraati, A Levina, TA Engel (2023) Spatial and temporal correlations in neural networks with structured connectivity, Physical Review Research 5 (1), 013005

A Levina, V Priesemann, J Zierenberg (2022) Tackling the subsampling problem to infer collective properties from limited data, Nature Reviews Physics, 1-15
S Khajehabdollahi, J Prosi, E Giannakakis, G Martius, A Levina (2022) When to be critical? Performance and evolvability in different regimes of neural Ising agents, Artificial Life, 28 (4), 458-478
Zeraati, R., Engel*, TA., Levina*, A. (2022) A flexible Bayesian framework for unbiased estimation of timescales, Nature Computational Science, 2 (3), 193-204

T. Fardet, A. Levina (2021) Weighted directed clustering: interpretations and requirements for heterogeneous, inferred, and measured networks. Phys. Rev. Research 3.
N Sukenik*,O Vinogradov*,E Weinreb, M Segal, A Levina** & E Moses** (2021) 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),
Zeraati, R., Priesemann, V., Levina, A. (2021). Self-organization toward criticality by synaptic plasticity. Front. Phys.
Jan Prosi, Sina Khajehabdollahi, Emmanouil Giannakakis, Georg Martius, Anna Levina (2021) The dynamical regime and its importance for evolvability, task performance and generalization, Proceeding of ALife Conference 2021

Fardet, T., & Levina, A. (2020). Simple models including energy and spike constraints reproduce complex activity patterns and metabolic disruptions. PLoS computational biology, 16 (12).

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

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

S Khajehabdollahi, G Martius, A Levina (2020). Assessing Aesthetics of Generated Abstract Images Using Correlation Structure. Get per e-mail 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 306-313

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

A Das, A Levina (2019). Critical neuronal models with relaxed timescale separation. Physical Review X, 9 (2), 021062

A Levina, V Priesemann (2017). Subsampling scaling. Nature communications, 8 (1), 1-9