Towards simulations of long-term behavior of neural networks: Modeling synaptic plasticity of connections within and between human brain regions. - Emmanouil Giannakakis; Cheol E. Han; Bernd Weber 001; Frances Hutchings; Marcus Kaiser (Neurocomputing, 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)

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)

Locally adaptive cellular automata for goal-oriented self-organization. - Sina Khajehabdollahi; Emmanouil Giannakakis; Victor Buendia; Georg Martius; 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)

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)

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)

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)