Multi-agent systems powered by large language models: applications in swarm intelligence
C. Jimenez-Romero, A. Yegenoglu, C. Blum, Frontiers in Artificial Intelligence 8 (2025).

Interdisciplinary and Collaborative Training in Neuroscience: Insights from the Human Brain Project Education Programme
A. Geminiani, J. Kathrein, A. Yegenoglu, F. Vogel, M. Armendariz, Z. Ben-Zion, P.A. Bogdan, J. Covelo, M. Diaz Pier, K. Grasenick, V. Karasenko, W. Klijn, T. Kokan, C.A. Lupascu, A. Lührs, T. Mahfoud, T. Özden, J.E. Pedersen, L. Peres, I. Reiten, N. Simidjievski, I. Ulnicane, M. van der Vlag, L. Zehl, A. Saria, S. Diaz-Pier, J. Passecker, Neuroinformatics 22 (2024) 657–678.

Emergent communication enhances foraging behavior in evolved swarms controlled by spiking neural networks
C. Jimenez Romero, A. Yegenoglu, A. Pérez Martín, S. Diaz-Pier, A. Morrison, Swarm Intelligence 18 (2023) 1–29.

Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn
A. Yegenoglu, A. Subramoney, T. Hater, C. Jimenez-Romero, W. Klijn, A. Pérez Martín, M. van der Vlag, M. Herty, A. Morrison, S. Diaz-Pier, Frontiers in Computational Neuroscience 16 (2022).

Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent
A. Yegenoglu, K. Krajsek, S.D. Pier, M. Herty, in: Lecture Notes in Computer Science, Springer International Publishing, Cham, 2021.

A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC
J. Senk, A. Yegenoglu, O. Amblet, Y. Brukau, A. Davison, D.R. Lester, A. Lührs, P. Quaglio, V. Rostami, A. Rowley, B. Schuller, A.B. Stokes, S.J. van Albada, D. Zielasko, M. Diesmann, B. Weyers, M. Denker, S. Grün, in: Lecture Notes in Computer Science, Springer International Publishing, Cham, 2017.

Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE
P. Quaglio, A. Yegenoglu, E. Torre, D.M. Endres, S. Grün, Frontiers in Computational Neuroscience 11 (2017).

Exploring the Usefulness of Formal Concept Analysis for Robust Detection of Spatio-temporal Spike Patterns in Massively Parallel Spike Trains
A. Yegenoglu, P. Quaglio, E. Torre, S. Grün, D. Endres, in: Lecture Notes in Computer Science, Springer International Publishing, Cham, 2016.