Alper Yegenoglu

alper.yegenoglu@uni-paderborn.de
ID
117951

8 Publications

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[8]
2025 | Journal Article | LibreCat-ID: 60897
Jimenez-Romero, C., Yegenoglu, A., & Blum, C. (2025). Multi-agent systems powered by large language models: applications in swarm intelligence. Frontiers in Artificial Intelligence, 8, Article 1593017. https://doi.org/10.3389/frai.2025.1593017
LibreCat | DOI
 
[7]
2024 | Journal Article | LibreCat-ID: 60898
Geminiani, A., Kathrein, J., Yegenoglu, A., Vogel, F., Armendariz, M., Ben-Zion, Z., Bogdan, P. A., Covelo, J., Diaz Pier, M., Grasenick, K., Karasenko, V., Klijn, W., Kokan, T., Lupascu, C. A., Lührs, A., Mahfoud, T., Özden, T., Pedersen, J. E., Peres, L., … Passecker, J. (2024). Interdisciplinary and Collaborative Training in Neuroscience: Insights from the Human Brain Project Education Programme. Neuroinformatics, 22(4), 657–678. https://doi.org/10.1007/s12021-024-09682-6
LibreCat | DOI
 
[6]
2023 | Journal Article | LibreCat-ID: 60899
Jimenez Romero, C., Yegenoglu, A., Pérez Martín, A., Diaz-Pier, S., & Morrison, A. (2023). Emergent communication enhances foraging behavior in evolved swarms controlled by spiking neural networks. Swarm Intelligence, 18(1), 1–29. https://doi.org/10.1007/s11721-023-00231-6
LibreCat | DOI
 
[5]
2022 | Journal Article | LibreCat-ID: 60900
Yegenoglu, A., Subramoney, A., Hater, T., Jimenez-Romero, C., Klijn, W., Pérez Martín, A., van der Vlag, M., Herty, M., Morrison, A., & Diaz-Pier, S. (2022). Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn. Frontiers in Computational Neuroscience, 16, Article 885207. https://doi.org/10.3389/fncom.2022.885207
LibreCat | DOI
 
[4]
2021 | Book Chapter | LibreCat-ID: 60901
Yegenoglu, A., Krajsek, K., Pier, S. D., & Herty, M. (2021). Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent. In Lecture Notes in Computer Science. Springer International Publishing. https://doi.org/10.1007/978-3-030-64580-9_7
LibreCat | DOI
 
[3]
2017 | Book Chapter | LibreCat-ID: 60902
Senk, J., Yegenoglu, A., Amblet, O., Brukau, Y., Davison, A., Lester, D. R., Lührs, A., Quaglio, P., Rostami, V., Rowley, A., Schuller, B., Stokes, A. B., van Albada, S. J., Zielasko, D., Diesmann, M., Weyers, B., Denker, M., & Grün, S. (2017). A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC. In Lecture Notes in Computer Science. Springer International Publishing. https://doi.org/10.1007/978-3-319-53862-4_21
LibreCat | DOI
 
[2]
2017 | Journal Article | LibreCat-ID: 60903
Quaglio, P., Yegenoglu, A., Torre, E., Endres, D. M., & Grün, S. (2017). Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE. Frontiers in Computational Neuroscience, 11, Article 41. https://doi.org/10.3389/fncom.2017.00041
LibreCat | DOI
 
[1]
2016 | Book Chapter | LibreCat-ID: 60904
Yegenoglu, A., Quaglio, P., Torre, E., Grün, S., & Endres, D. (2016). 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. https://doi.org/10.1007/978-3-319-40985-6_1
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8 Publications

Mark all

[8]
2025 | Journal Article | LibreCat-ID: 60897
Jimenez-Romero, C., Yegenoglu, A., & Blum, C. (2025). Multi-agent systems powered by large language models: applications in swarm intelligence. Frontiers in Artificial Intelligence, 8, Article 1593017. https://doi.org/10.3389/frai.2025.1593017
LibreCat | DOI
 
[7]
2024 | Journal Article | LibreCat-ID: 60898
Geminiani, A., Kathrein, J., Yegenoglu, A., Vogel, F., Armendariz, M., Ben-Zion, Z., Bogdan, P. A., Covelo, J., Diaz Pier, M., Grasenick, K., Karasenko, V., Klijn, W., Kokan, T., Lupascu, C. A., Lührs, A., Mahfoud, T., Özden, T., Pedersen, J. E., Peres, L., … Passecker, J. (2024). Interdisciplinary and Collaborative Training in Neuroscience: Insights from the Human Brain Project Education Programme. Neuroinformatics, 22(4), 657–678. https://doi.org/10.1007/s12021-024-09682-6
LibreCat | DOI
 
[6]
2023 | Journal Article | LibreCat-ID: 60899
Jimenez Romero, C., Yegenoglu, A., Pérez Martín, A., Diaz-Pier, S., & Morrison, A. (2023). Emergent communication enhances foraging behavior in evolved swarms controlled by spiking neural networks. Swarm Intelligence, 18(1), 1–29. https://doi.org/10.1007/s11721-023-00231-6
LibreCat | DOI
 
[5]
2022 | Journal Article | LibreCat-ID: 60900
Yegenoglu, A., Subramoney, A., Hater, T., Jimenez-Romero, C., Klijn, W., Pérez Martín, A., van der Vlag, M., Herty, M., Morrison, A., & Diaz-Pier, S. (2022). Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn. Frontiers in Computational Neuroscience, 16, Article 885207. https://doi.org/10.3389/fncom.2022.885207
LibreCat | DOI
 
[4]
2021 | Book Chapter | LibreCat-ID: 60901
Yegenoglu, A., Krajsek, K., Pier, S. D., & Herty, M. (2021). Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent. In Lecture Notes in Computer Science. Springer International Publishing. https://doi.org/10.1007/978-3-030-64580-9_7
LibreCat | DOI
 
[3]
2017 | Book Chapter | LibreCat-ID: 60902
Senk, J., Yegenoglu, A., Amblet, O., Brukau, Y., Davison, A., Lester, D. R., Lührs, A., Quaglio, P., Rostami, V., Rowley, A., Schuller, B., Stokes, A. B., van Albada, S. J., Zielasko, D., Diesmann, M., Weyers, B., Denker, M., & Grün, S. (2017). A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC. In Lecture Notes in Computer Science. Springer International Publishing. https://doi.org/10.1007/978-3-319-53862-4_21
LibreCat | DOI
 
[2]
2017 | Journal Article | LibreCat-ID: 60903
Quaglio, P., Yegenoglu, A., Torre, E., Endres, D. M., & Grün, S. (2017). Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE. Frontiers in Computational Neuroscience, 11, Article 41. https://doi.org/10.3389/fncom.2017.00041
LibreCat | DOI
 
[1]
2016 | Book Chapter | LibreCat-ID: 60904
Yegenoglu, A., Quaglio, P., Torre, E., Grün, S., & Endres, D. (2016). 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. https://doi.org/10.1007/978-3-319-40985-6_1
LibreCat | DOI
 
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Citation Style: APA

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