8 Publications
2025 | Journal Article | LibreCat-ID: 60897
Jimenez-Romero C, Yegenoglu A, Blum C. Multi-agent systems powered by large language models: applications in swarm intelligence. Frontiers in Artificial Intelligence. 2025;8. doi:10.3389/frai.2025.1593017
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 60898
Geminiani A, Kathrein J, Yegenoglu A, et al. Interdisciplinary and Collaborative Training in Neuroscience: Insights from the Human Brain Project Education Programme. Neuroinformatics. 2024;22(4):657-678. doi:10.1007/s12021-024-09682-6
LibreCat
| DOI
2023 | Journal Article | LibreCat-ID: 60899
Jimenez Romero C, Yegenoglu A, Pérez Martín A, Diaz-Pier S, Morrison A. Emergent communication enhances foraging behavior in evolved swarms controlled by spiking neural networks. Swarm Intelligence. 2023;18(1):1-29. doi:10.1007/s11721-023-00231-6
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 60900
Yegenoglu A, Subramoney A, Hater T, et al. Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn. Frontiers in Computational Neuroscience. 2022;16. doi:10.3389/fncom.2022.885207
LibreCat
| DOI
2021 | Book Chapter | LibreCat-ID: 60901
Yegenoglu A, Krajsek K, Pier SD, Herty M. Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent. In: Lecture Notes in Computer Science. Springer International Publishing; 2021. doi:10.1007/978-3-030-64580-9_7
LibreCat
| DOI
2017 | Book Chapter | LibreCat-ID: 60902
Senk J, Yegenoglu A, Amblet O, et al. A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC. In: Lecture Notes in Computer Science. Springer International Publishing; 2017. doi:10.1007/978-3-319-53862-4_21
LibreCat
| DOI
2017 | Journal Article | LibreCat-ID: 60903
Quaglio P, Yegenoglu A, Torre E, Endres DM, Grün S. Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE. Frontiers in Computational Neuroscience. 2017;11. doi:10.3389/fncom.2017.00041
LibreCat
| DOI
2016 | Book Chapter | LibreCat-ID: 60904
Yegenoglu A, Quaglio P, Torre E, Grün S, Endres D. Exploring the Usefulness of Formal Concept Analysis for Robust Detection of Spatio-temporal Spike Patterns in Massively Parallel Spike Trains. In: Lecture Notes in Computer Science. Springer International Publishing; 2016. doi:10.1007/978-3-319-40985-6_1
LibreCat
| DOI
8 Publications
2025 | Journal Article | LibreCat-ID: 60897
Jimenez-Romero C, Yegenoglu A, Blum C. Multi-agent systems powered by large language models: applications in swarm intelligence. Frontiers in Artificial Intelligence. 2025;8. doi:10.3389/frai.2025.1593017
LibreCat
| DOI
2024 | Journal Article | LibreCat-ID: 60898
Geminiani A, Kathrein J, Yegenoglu A, et al. Interdisciplinary and Collaborative Training in Neuroscience: Insights from the Human Brain Project Education Programme. Neuroinformatics. 2024;22(4):657-678. doi:10.1007/s12021-024-09682-6
LibreCat
| DOI
2023 | Journal Article | LibreCat-ID: 60899
Jimenez Romero C, Yegenoglu A, Pérez Martín A, Diaz-Pier S, Morrison A. Emergent communication enhances foraging behavior in evolved swarms controlled by spiking neural networks. Swarm Intelligence. 2023;18(1):1-29. doi:10.1007/s11721-023-00231-6
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 60900
Yegenoglu A, Subramoney A, Hater T, et al. Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn. Frontiers in Computational Neuroscience. 2022;16. doi:10.3389/fncom.2022.885207
LibreCat
| DOI
2021 | Book Chapter | LibreCat-ID: 60901
Yegenoglu A, Krajsek K, Pier SD, Herty M. Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent. In: Lecture Notes in Computer Science. Springer International Publishing; 2021. doi:10.1007/978-3-030-64580-9_7
LibreCat
| DOI
2017 | Book Chapter | LibreCat-ID: 60902
Senk J, Yegenoglu A, Amblet O, et al. A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC. In: Lecture Notes in Computer Science. Springer International Publishing; 2017. doi:10.1007/978-3-319-53862-4_21
LibreCat
| DOI
2017 | Journal Article | LibreCat-ID: 60903
Quaglio P, Yegenoglu A, Torre E, Endres DM, Grün S. Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE. Frontiers in Computational Neuroscience. 2017;11. doi:10.3389/fncom.2017.00041
LibreCat
| DOI
2016 | Book Chapter | LibreCat-ID: 60904
Yegenoglu A, Quaglio P, Torre E, Grün S, Endres D. Exploring the Usefulness of Formal Concept Analysis for Robust Detection of Spatio-temporal Spike Patterns in Massively Parallel Spike Trains. In: Lecture Notes in Computer Science. Springer International Publishing; 2016. doi:10.1007/978-3-319-40985-6_1
LibreCat
| DOI