Alper Yegenoglu

alper.yegenoglu@uni-paderborn.de
ID
117951

8 Publications

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[8]
2025 | Journal Article | LibreCat-ID: 60897
C. Jimenez-Romero, A. Yegenoglu, and C. Blum, “Multi-agent systems powered by large language models: applications in swarm intelligence,” Frontiers in Artificial Intelligence, vol. 8, Art. no. 1593017, 2025, doi: 10.3389/frai.2025.1593017.
LibreCat | DOI
 
[7]
2024 | Journal Article | LibreCat-ID: 60898
A. Geminiani et al., “Interdisciplinary and Collaborative Training in Neuroscience: Insights from the Human Brain Project Education Programme,” Neuroinformatics, vol. 22, no. 4, pp. 657–678, 2024, doi: 10.1007/s12021-024-09682-6.
LibreCat | DOI
 
[6]
2023 | Journal Article | LibreCat-ID: 60899
C. Jimenez Romero, A. Yegenoglu, A. Pérez Martín, S. Diaz-Pier, and A. Morrison, “Emergent communication enhances foraging behavior in evolved swarms controlled by spiking neural networks,” Swarm Intelligence, vol. 18, no. 1, pp. 1–29, 2023, doi: 10.1007/s11721-023-00231-6.
LibreCat | DOI
 
[5]
2022 | Journal Article | LibreCat-ID: 60900
A. Yegenoglu et al., “Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn,” Frontiers in Computational Neuroscience, vol. 16, Art. no. 885207, 2022, doi: 10.3389/fncom.2022.885207.
LibreCat | DOI
 
[4]
2021 | Book Chapter | LibreCat-ID: 60901
A. Yegenoglu, K. Krajsek, S. D. Pier, and M. Herty, “Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent,” in Lecture Notes in Computer Science, Cham: Springer International Publishing, 2021.
LibreCat | DOI
 
[3]
2017 | Book Chapter | LibreCat-ID: 60902
J. Senk et al., “A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC,” in Lecture Notes in Computer Science, Cham: Springer International Publishing, 2017.
LibreCat | DOI
 
[2]
2017 | Journal Article | LibreCat-ID: 60903
P. Quaglio, A. Yegenoglu, E. Torre, D. M. Endres, and S. Grün, “Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE,” Frontiers in Computational Neuroscience, vol. 11, Art. no. 41, 2017, doi: 10.3389/fncom.2017.00041.
LibreCat | DOI
 
[1]
2016 | Book Chapter | LibreCat-ID: 60904
A. Yegenoglu, P. Quaglio, E. Torre, S. Grün, and D. Endres, “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, Cham: Springer International Publishing, 2016.
LibreCat | DOI
 
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8 Publications

Mark all

[8]
2025 | Journal Article | LibreCat-ID: 60897
C. Jimenez-Romero, A. Yegenoglu, and C. Blum, “Multi-agent systems powered by large language models: applications in swarm intelligence,” Frontiers in Artificial Intelligence, vol. 8, Art. no. 1593017, 2025, doi: 10.3389/frai.2025.1593017.
LibreCat | DOI
 
[7]
2024 | Journal Article | LibreCat-ID: 60898
A. Geminiani et al., “Interdisciplinary and Collaborative Training in Neuroscience: Insights from the Human Brain Project Education Programme,” Neuroinformatics, vol. 22, no. 4, pp. 657–678, 2024, doi: 10.1007/s12021-024-09682-6.
LibreCat | DOI
 
[6]
2023 | Journal Article | LibreCat-ID: 60899
C. Jimenez Romero, A. Yegenoglu, A. Pérez Martín, S. Diaz-Pier, and A. Morrison, “Emergent communication enhances foraging behavior in evolved swarms controlled by spiking neural networks,” Swarm Intelligence, vol. 18, no. 1, pp. 1–29, 2023, doi: 10.1007/s11721-023-00231-6.
LibreCat | DOI
 
[5]
2022 | Journal Article | LibreCat-ID: 60900
A. Yegenoglu et al., “Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn,” Frontiers in Computational Neuroscience, vol. 16, Art. no. 885207, 2022, doi: 10.3389/fncom.2022.885207.
LibreCat | DOI
 
[4]
2021 | Book Chapter | LibreCat-ID: 60901
A. Yegenoglu, K. Krajsek, S. D. Pier, and M. Herty, “Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent,” in Lecture Notes in Computer Science, Cham: Springer International Publishing, 2021.
LibreCat | DOI
 
[3]
2017 | Book Chapter | LibreCat-ID: 60902
J. Senk et al., “A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC,” in Lecture Notes in Computer Science, Cham: Springer International Publishing, 2017.
LibreCat | DOI
 
[2]
2017 | Journal Article | LibreCat-ID: 60903
P. Quaglio, A. Yegenoglu, E. Torre, D. M. Endres, and S. Grün, “Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE,” Frontiers in Computational Neuroscience, vol. 11, Art. no. 41, 2017, doi: 10.3389/fncom.2017.00041.
LibreCat | DOI
 
[1]
2016 | Book Chapter | LibreCat-ID: 60904
A. Yegenoglu, P. Quaglio, E. Torre, S. Grün, and D. Endres, “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, Cham: Springer International Publishing, 2016.
LibreCat | DOI
 
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Citation Style: IEEE

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