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Alper Yegenoglu
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Year
Collaborative HPC-enabled workflows on the HBP Collaboratory using the Elephant framework
M Denker, A Yegenoglu, S Grün
Neuroinformatics 2018, 2018
582018
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
322017
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
192015
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
162017
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
12*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
112016
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
92022
Generalised learning of time-series: Ornstein-Uhlenbeck processes
M Süzen, A Yegenoglu
arXiv preprint arXiv:1910.09394, 2019
52019
Collaborative HPC-enabled workflows on the HBP Collaboratory using the Elephant framework
A Yegenoglu, M Denker, S Grün
INM-ICS Retreat 2018, 2018
22018
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
12019
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
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
2023
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
Emergent communication enhances foraging behaviour in evolved swarms controlled by Spiking Neural Networks
CJ Romero, A Yegenoglu, AP Martín, S Diaz-Pier, A Morrison
arXiv preprint arXiv:2212.08484, 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
Spatio-Temporal Spike Pattern Recognition in Massively Parallel Spike Trains
A Yegenoglu, E Torre, S Grün, P Quaglio, D Endres
HBP Student Conference, 2018
2018
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Articles 1–20