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Emmanouil Giannakakis
Emmanouil Giannakakis
在 uni-tuebingen.de 的电子邮件经过验证
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引用次数
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Computational modelling of the long-term effects of brain stimulation on the local and global structural connectivity of epileptic patients
E Giannakakis, F Hutchings, CA Papasavvas, CE Han, B Weber, C Zhang, ...
Plos one 15 (2), e0221380, 2020
142020
When to be critical? Performance and evolvability in different regimes of neural Ising agents
S Khajehabdollahi, J Prosi, E Giannakakis, G Martius, A Levina
Artificial Life 28 (4), 458-478, 2022
102022
Towards simulations of long-term behavior of neural networks: Modeling synaptic plasticity of connections within and between human brain regions
E Giannakakis, CE Han, B Weber, F Hutchings, M Kaiser
Neurocomputing 416, 38-44, 2020
92020
The dynamical regime and its importance for evolvability, task performance and generalization
J Prosi, S Khajehabdollahi, E Giannakakis, G Martius, A Levina
ALIFE 2021: The 2021 Conference on Artificial Life, 2021
52021
Recurrent connectivity structure controls the emergence of co-tuned excitation and inhibition
E Giannakakis, O Vinogradov, V Buendía, A Levina
bioRxiv, 2023.02. 27.530253, 2023
42023
Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks
S Khajehabdollahi, R Zeraati, E Giannakakis, TJ Schäfer, G Martius, ...
arXiv preprint arXiv:2309.12927, 2023
32023
Locally adaptive cellular automata for goal-oriented self-organization
S Khajehabdollahi, E Giannakakis, V Buendía, G Martius, A Levina
Artificial Life Conference Proceedings 35 2023 (1), 59, 2023
32023
Reservoir computing with self-organizing neural oscillators
S Khajehabdollahi, E Giannakakis, J Prosi, A Levina
ALIFE 2021: The 2021 Conference on Artificial Life, 2021
22021
Modular Growth of Hierarchical Networks: Efficient, General, and Robust Curriculum Learning
M Hamidi, S Khajehabdollahi, E Giannakakis, TJ Schäfer, A Levina, ...
ALIFE 2024: Proceedings of the 2024 Artificial Life Conference, 2024
2024
Network bottlenecks and task structure control the evolution of interpretable learning rules in a foraging agent
E Giannakakis, S Khajehabdollahi, A Levina
arXiv preprint arXiv:2403.13649, 2024
2024
Revising clustering and small-worldness in brain networks
T Fardet, E Giannakakis, L Paulun, A Levina
arXiv preprint arXiv:2401.15630, 2024
2024
Environmental variability and network structure determine the optimal plasticity mechanisms in embodied agents
E Giannakakis, S Khajehabdollahi, A Levina
Artificial Life Conference Proceedings 35 2023 (1), 22, 2023
2023
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