| Apical lymph nodes at the root of the inferior mesenteric artery in distal colorectal cancer: an analysis of the risk of tumor involvement and the impact of high ligation on … A Alici, M Kement, C Gezen, T Akın, S Vural, N Okkabaz, E Basturk, ... Techniques in coloproctology 14, 1-8, 2010 | 77 | 2010 |
| Collaborative HPC-enabled workflows on the HBP Collaboratory using the Elephant framework A Yegenoglu, M Denker, S Grün INM-ICS Retreat 2018, 2018 | 71 | 2018 |
| Detection and evaluation of spatio-temporal spike patterns in massively parallel spike train data with spade P Quaglio, A Yegenoglu, E Torre, DM Endres, S Grün Frontiers in computational neuroscience 11, 41, 2017 | 35 | 2017 |
| Elephant–open-source tool for the analysis of electrophysiological data sets A Yegenoglu, D Holstein, LD Phan, M Denker, A Davison, S Grün INM Retreat 2015, 2015 | 19 | 2015 |
| A collaborative simulation-analysis workflow for computational neuroscience using HPC J Senk, A Yegenoglu, O Amblet, Y Brukau, A Davison, DR Lester, A Lührs, ... High-Performance Scientific Computing: First JARA-HPC Symposium, JHPCS 2016 …, 2017 | 17 | 2017 |
| Ensemble Kalman filter optimizing deep neural networks: an alternative approach to non-performing gradient descent A Yegenoglu, K Krajsek, SD Pier, M Herty Machine Learning, Optimization, and Data Science: 6th International …, 2020 | 15* | 2020 |
| 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 Graph-Based Representation and Reasoning: 22nd International Conference on …, 2016 | 11 | 2016 |
| 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, ... Frontiers in computational neuroscience 16, 885207, 2022 | 9 | 2022 |
| Generalised learning of time-series: Ornstein-Uhlenbeck processes M Süzen, A Yegenoglu arXiv preprint arXiv:1910.09394, 2019 | 5 | 2019 |
| Emergent communication enhances foraging behavior in evolved swarms controlled by spiking neural networks C Jimenez Romero, A Yegenoglu, A Pérez Martín, S Diaz-Pier, ... Swarm Intelligence 18 (1), 1-29, 2024 | 2 | 2024 |
| Two-compartment neuronal spiking model expressing brain-state specific apical-amplification,-isolation and-drive regimes E Pastorelli, A Yegenoglu, N Kolodziej, W Wybo, F Simula, S Diaz, ... arXiv preprint arXiv:2311.06074, 2023 | 2 | 2023 |
| Learning to Learn on High Performance Computing A Yegenoglu, W Maas, M Herty, W Klijn, G Visconti, A Subramoney, ... Society for Neuroscience Meeting 2019, 2019 | 1 | 2019 |
| Vast parameters space exploration using L2L on ERAINS A Yegenoglu, S Diaz, M van der Vlag 32nd Annual Computational Neuroscience Meeting, 2023 | | 2023 |
| Gradient-free optimization of artificial and biological networks using learning to learn A Yegenoglu Dissertation, RWTH Aachen University, 2023, 2023 | | 2023 |
| EXPLORING HYPER-PARAMETER SPACES OF NEUROSCIENCE MODELS ON HIGH PERFORMANCE COMPUTERS WITH LEARNING A Yegenoglu, A Subramoney, T Hater, C Jimenez-Romero, W Klijn, ... arXiv preprint arXiv:2202.13822, 2022 | | 2022 |
| Optimizing Spiking Neural Networks with L2L on HPC systems A Yegenoglu End of year colloquium 2022 at JSC, 2022 | | 2022 |
| Porting code from Matlab to Python S Diaz, R Deepu, A Perez Martin, A Yegenoglu, W Klijn Jülich Supercomputing Centre-as part of the Training Programme of …, 2022 | | 2022 |
| HBP Tea & Slides Session XI-Writing proposals for High Performance Computing (HPC), Cloud and storage resources A Lührs, S Diaz, A Yegenoglu HBP Tea & Slides, 2021 | | 2021 |
| Estimation of the cortical microconnectome from in vivo spiking activity in the macaque monkey A Morales-Gregorio, P Dabrowska, B Kilavik, R Gutzen, S Grün, S Paneri, ... 29th Annual Computational Neuroscience Meeting CNS* 2020, 2020 | | 2020 |
| SWAN: A tool to track single units across consecutive electrophysiological recordings S Sridhar, M Denker, A Yegenoglu, N Voges, A Riehle, T Brochier, S Grün 13th Göttingen Meeting of the German Neuroscience Society, 2019 | | 2019 |
Sonja GrünProfessor for Theoretical Systems Neurobiology, RWTH Aachen University在 fz-juelich.de 的电子邮件经过验证
