Dynamical Synapses Give Rise to a Power-Law Distribution of Neuronal Avalanches. - Anna Levina; J. Michael Herrmann; Theo Geisel (NIPS, 2005)

Criticality of avalanche dynamics in adaptive recurrent networks. - Anna Levina; Udo Ernst; J. Michael Herrmann (Neurocomputing, 2007)

Critical dynamics in associative memory networks. - Maximilian Uhlig; Anna Levina; Theo Geisel; J. Michael Herrmann (Frontiers Comput. Neurosci., 2013)

Self-organization in Balanced State Networks by STDP and Homeostatic Plasticity. - Felix Effenberger; Jürgen Jost; Anna Levina (PLoS Comput. Biol., 2015)

Assessing Aesthetics of Generated Abstract Images Using Correlation Structure. - Sina Khajehabdollahi; Georg Martius; Anna Levina (SSCI, 2019)

Simple models including energy and spike constraints reproduce complex activity patterns and metabolic disruptions. - Tanguy Fardet; Anna Levina (PLoS Comput. Biol., 2020)

Reservoir computing with self-organizing neural oscillators. - Sina Khajehabdollahi; Emmanouil Giannakakis; Jan Prosi; Anna Levina (ALIFE, 2021)

The dynamical regime and its importance for evolvability, task performance and generalization. - Jan Prosi; Sina Khajehabdollahi; Emmanouil Giannakakis; Georg Martius; Anna Levina (ALIFE, 2021)

Weighted directed clustering: interpretations and requirements for heterogeneous, inferred, and measured networks. - Tanguy Fardet; Anna Levina (CoRR, 2021)

When to Be Critical? Performance and Evolvability in Different Regimes of Neural Ising Agents. - Sina Khajehabdollahi; Jan Prosi; Emmanouil Giannakakis; Georg Martius; Anna Levina (Artif. Life, 2022)

A flexible Bayesian framework for unbiased estimation of timescales. - Roxana Zeraati; Tatiana A. Engel; Anna Levina (Nat. Comput. Sci., 2022)

When to be critical? Performance and evolvability in different regimes of neural Ising agents. - Sina Khajehabdollahi; Jan Prosi; Georg Martius; Anna Levina (CoRR, 2023)

Locally adaptive cellular automata for goal-oriented self-organization. - Sina Khajehabdollahi; Emmanouil Giannakakis; Victor Buendia; Georg Martius; Anna Levina (CoRR, 2023)

The ELM Neuron: an Efficient and Expressive Cortical Neuron Model Can Solve Long-Horizon Tasks. - Aaron Spieler; Nasim Rahaman; Georg Martius; Bernhard Schölkopf; Anna Levina (CoRR, 2023)

Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks. - Sina Khajehabdollahi; Roxana Zeraati; Emmanouil Giannakakis; Tim Jakob Schäfer; Georg Martius; Anna Levina (ICLR, 2024)

The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks. - Aaron Spieler; Nasim Rahaman; Georg Martius; Bernhard Schölkopf; Anna Levina (ICLR, 2024)

Learning with 3D rotations, a hitchhiker's guide to SO(3). - Andreas René Geist; Jonas Frey; Mikel Zhobro; Anna Levina; Georg Martius (ICML, 2024)

Revising clustering and small-worldness in brain networks. - Tanguy Fardet; Emmanouil Giannakakis; Lukas Paulun; Anna Levina (CoRR, 2024)

Network bottlenecks and task structure control the evolution of interpretable learning rules in a foraging agent. - Emmanouil Giannakakis; Sina Khajehabdollahi; Anna Levina (CoRR, 2024)

Learning with 3D rotations, a hitchhiker's guide to SO(3). - Andreas René Geist; Jonas Frey; Mikel Zobro; Anna Levina; Georg Martius (CoRR, 2024)

Modular Growth of Hierarchical Networks: Efficient, General, and Robust Curriculum Learning. - Mani Hamidi; Sina Khajehabdollahi; Emmanouil Giannakakis; Tim Jakob Schäfer; Anna Levina; Charley M. Wu (CoRR, 2024)

Neural timescales from a computational perspective. - Roxana Zeraati; Anna Levina; Jakob H. Macke; Richard Gao (CoRR, 2024)

Structural influences on synaptic plasticity: The role of presynaptic connectivity in the emergence of E/I co-tuning. - Emmanouil Giannakakis; Oleg Vinogradov; Victor Buendia; Anna Levina (PLoS Comput. Biol., 2024)