Publications

Cristian Jimenez Romero, Alper Yegenoglu, Christian Blum (2025). Multi-Agent Systems Powered by Large Language Models: Applications in Swarm Intelligence. arxiv.

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Han Lu, Michiel van der Vlag, Alper Yegenoglu, Sandra Diaz (2025). Symphony of Intelligence: Artificial vs. Natural Intelligence in the Age of High-Performance and Versatile Computing Ecosystems (in preparation).

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Alice Geminiani, Judith Kathrein, Alper Yegenoglu, Franziska Vogel, Marcelo Armendariz, Ziv Ben-Zion, Petrut Antoniu Bogdan, Joana Covelo, Marissa Diaz Diaz-Pier, Karin Grasenick, Vitali Karasenko, Wouter Klijn, Tina Kokan, Carmen Alina Lupascu, Anna Lührs, Tara Mahfoud, Taylan Özden, Jens Egholm Pedersen, Luca Peres, Ingrid Reiten, Nikola Simidjievski, Inga Ulnicane, Michiel van der Vlag, Lyuba Zehl, Sandra Diaz-Pier, Alois Saria, Johannes Passecker (2024). Multidisciplinary and collaborative training in neuroscience: Insights from the Human Brain Project Education Programm. Springer - Neuroinformatics.

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Michiel van der Vlag, Alper Yegenoglu, Cristian Jimenez Romero, Sandra Diaz, S., Jennifer Goldman (2024). Leveraging cognitive dynamics for bio-inspired reservoirs (in preparation). Peer Community in Registered Reports.

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Cristian Jimenez Romero, Alper Yegenoglu, Aarón Pérez Martı́n, Sandra Diaz-Pier, Abigail Morrison (2023). Emergent communication enhances foraging behavior in evolved swarms controlled by spiking neural networks. Swarm Intelligence.

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Elena Pastorelli, Alper Yegenoglu, Nicole Kolodziej, Willem Wybo, Francesco Simula, Sandra Diaz, Johan Frederik Storm, Pier Stanislao Paolucci (2023). Two-compartment neuronal spiking model expressing brain-state specific apical-amplification,-isolation and-drive regimes. arXiv preprint arXiv:2311.06074.

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Alper Yegenoglu (2023). Gradient-free optimization of artificial and biological networks using learning to learn. Forschungszentrum Jülich GmbH, Zentralbibliothek, Verlag.

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Alper Yegenoglu, Anand Subramoney, Thorsten Hater, Cristian Jimenez Romero, Wouter Klijn, Aaron Pérez Martín, Michiel van der Vlag, Michael Herty, Abigail Morrison, Sandra Diaz-Pier (2022). Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn. Frontiers in Computational Neuroscience.

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Cristian Jimenez Romero, Alper Yegenoglu, Aarón Pérez Martı́n, Sandra Diaz-Pier, Abigail Morrison (2022). Emergent communication enhances foraging behaviour in evolved swarms controlled by Spiking Neural Networks. arXiv preprint arXiv:2212.08484 (published in Swarm Intelligence, Springer Nature).

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Alice Geminiani, Franziska Vogel, Judith Kathrein, Manuel Gran, Tabea Kirchner, Paschal Ochang (2022). 6th HBP Student Conference on Interdisciplinary Brain Research. 6th HBP Student Conference on Interdisciplinary Brain Research.

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Alper Yegenoglu, Kai Krajsek, Sandra Diaz-Pier, Michael Herty (2020). Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent. International Conference on Machine Learning, Optimization, and Data Science.

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Dr. Alper Yegenoglu (2019). An example preprint / working paper.

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Mehmet Süzen, Alper Yegenoglu (2019). Generalised learning of time-series: Ornstein-Uhlenbeck processes. arXiv preprint arXiv:1910.09394.

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(2018). 1st HBP Student Conference - Transdisciplinary Research Linking Neuroscience, Brain Medicine and Computer Science. 1st HBP Student Conference - Transdisciplinary Research Linking Neuroscience, Brain Medicine and Computer Science.

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Johanna Senk, Alper Yegenoglu, Olivier Amblet, Yury Brukau, Andrew Davison, David Roland Lester, Anna Lührs, Pietro Quaglio, Vahid Rostami, Andrew Rowley, Bernd Schuller, Alan Barry Stokes, Sacha Jennifer van Albada, Daniel Zielasko, Markus Diesmann, Benjamin Weyers, Michael Denker, Sonja Grün (2017). A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC. Lecture Notes in Computer Science.

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Alper Yegenoglu, Pietro Quaglio, Emiliano Torre, Sonja Grün, Dominik Endres (2016). Exploring the Usefulness of Formal Concept Analysis for Robust Detection of Spatio-temporal Spike Patterns in Massively Parallel Spike Trains. Graph-Based Representation and Reasoning.

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Alper Yegenoglu, Detlef Holstein, Long Duc Phan, Michael Denker, Andrew Davison, Sonja Grün (2015). Elephant--open-source tool for the analysis of electrophysiological data sets. G-Node.

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