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ORCIDAnna Levina
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- affiliation: Eberhard Karls University of Tübingen, Germany
- affiliation: Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany
- affiliation: Bernstein Center for Computational Neuroscience Göttingen, Germany
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2020 – today
- 2024
[j7]Emmanouil Giannakakis
, Oleg Vinogradov, Victor Buendia, Anna Levina:
Structural influences on synaptic plasticity: The role of presynaptic connectivity in the emergence of E/I co-tuning. PLoS Comput. Biol. 20(10): 1012510 (2024)- [c7]Sina Khajehabdollahi, Roxana Zeraati, Emmanouil Giannakakis, Tim Jakob Schäfer, Georg Martius, Anna Levina:
Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks. ICLR 2024 - [c6]Aaron Spieler, Nasim Rahaman, Georg Martius, Bernhard Schölkopf, Anna Levina:
The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks. ICLR 2024 - [c5]Andreas René Geist, Jonas Frey, Mikel Zhobro, Anna Levina, Georg Martius:
Learning with 3D rotations, a hitchhiker's guide to SO(3). ICML 2024 - [i12]Tanguy Fardet, Emmanouil Giannakakis, Lukas Paulun, Anna Levina:
Revising clustering and small-worldness in brain networks. CoRR abs/2401.15630 (2024) - [i11]Emmanouil Giannakakis, Sina Khajehabdollahi, Anna Levina:
Network bottlenecks and task structure control the evolution of interpretable learning rules in a foraging agent. CoRR abs/2403.13649 (2024) - [i10]Andreas René Geist, Jonas Frey, Mikel Zobro, Anna Levina, Georg Martius:
Learning with 3D rotations, a hitchhiker's guide to SO(3). CoRR abs/2404.11735 (2024) - [i9]Mani Hamidi, Sina Khajehabdollahi, Emmanouil Giannakakis, Tim Jakob Schäfer, Anna Levina, Charley M. Wu:
Modular Growth of Hierarchical Networks: Efficient, General, and Robust Curriculum Learning. CoRR abs/2406.06262 (2024) - [i8]Roxana Zeraati, Anna Levina, Jakob H. Macke, Richard Gao:
Neural timescales from a computational perspective. CoRR abs/2409.02684 (2024) - 2023
- [i7]Sina Khajehabdollahi, Jan Prosi, Georg Martius, Anna Levina:
When to be critical? Performance and evolvability in different regimes of neural Ising agents. CoRR abs/2303.16195 (2023) - [i6]Sina Khajehabdollahi, Emmanouil Giannakakis, Victor Buendia, Georg Martius, Anna Levina:
Locally adaptive cellular automata for goal-oriented self-organization. CoRR abs/2306.07067 (2023) - [i5]Aaron Spieler, Nasim Rahaman, Georg Martius, Bernhard Schölkopf, Anna Levina:
The ELM Neuron: an Efficient and Expressive Cortical Neuron Model Can Solve Long-Horizon Tasks. CoRR abs/2306.16922 (2023) - [i4]Sina Khajehabdollahi, Roxana Zeraati, Emmanouil Giannakakis, Tim Jakob Schäfer, Georg Martius, Anna Levina:
Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks. CoRR abs/2309.12927 (2023) - 2022
- [j6]Sina Khajehabdollahi, Jan Prosi, Emmanouil Giannakakis, Georg Martius, Anna Levina:
When to Be Critical? Performance and Evolvability in Different Regimes of Neural Ising Agents. Artif. Life 28(4): 458-478 (2022) - [j5]Roxana Zeraati, Tatiana A. Engel, Anna Levina:
A flexible Bayesian framework for unbiased estimation of timescales. Nat. Comput. Sci. 2(3): 193-204 (2022) - 2021
- [c4]Sina Khajehabdollahi, Emmanouil Giannakakis, Jan Prosi, Anna Levina:
Reservoir computing with self-organizing neural oscillators. ALIFE 2021: 78 - [c3]Jan Prosi, Sina Khajehabdollahi, Emmanouil Giannakakis, Georg Martius, Anna Levina:
The dynamical regime and its importance for evolvability, task performance and generalization. ALIFE 2021: 79 - [i3]Jan Prosi, Sina Khajehabdollahi, Emmanouil Giannakakis, Georg Martius, Anna Levina:
The dynamical regime and its importance for evolvability, task performance and generalization. CoRR abs/2103.12184 (2021) - [i2]Tanguy Fardet, Anna Levina:
Weighted directed clustering: interpretations and requirements for heterogeneous, inferred, and measured networks. CoRR abs/2105.06318 (2021) - [i1]Sina Khajehabdollahi, Georg Martius, Anna Levina:
Assessing aesthetics of generated abstract images using correlation structure. CoRR abs/2105.08635 (2021) - 2020
- [j4]Tanguy Fardet, Anna Levina:
Simple models including energy and spike constraints reproduce complex activity patterns and metabolic disruptions. PLoS Comput. Biol. 16(12) (2020)
2010 – 2019
- 2019
- [c2]Sina Khajehabdollahi, Georg Martius, Anna Levina:
Assessing Aesthetics of Generated Abstract Images Using Correlation Structure. SSCI 2019: 306-313 - 2015
- [j3]Felix Effenberger, Jürgen Jost, Anna Levina:
Self-organization in Balanced State Networks by STDP and Homeostatic Plasticity. PLoS Comput. Biol. 11(9) (2015) - 2013
- [j2]Maximilian Uhlig, Anna Levina, Theo Geisel, J. Michael Herrmann:
Critical dynamics in associative memory networks. Frontiers Comput. Neurosci. 7: 87 (2013)
2000 – 2009
- 2007
- [j1]Anna Levina, Udo Ernst, J. Michael Herrmann:
Criticality of avalanche dynamics in adaptive recurrent networks. Neurocomputing 70(10-12): 1877-1881 (2007) - 2005
- [c1]Anna Levina, J. Michael Herrmann, Theo Geisel:
Dynamical Synapses Give Rise to a Power-Law Distribution of Neuronal Avalanches. NIPS 2005: 771-778
Coauthor Index
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