Alper Yegenoglu
Title
Cited by
Cited by
Year
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
142017
A collaborative simulation-analysis workflow for computational neuroscience using HPC
J Senk, A Yegenoglu, O Amblet, Y Brukau, A Davison, DR Lester, A Lührs, ...
Jülich Aachen Research Alliance (JARA) High-Performance Computing Symposium …, 2016
122016
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
122015
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
International Conference on Conceptual Structures, 3-16, 2016
52016
Collaborative HPC-enabled workflows on the HBP Collaboratory using the Elephant framework
M Denker, A Yegenoglu, S Grün
Neuroinformatics 2018, 2018
32018
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
Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent
A Yegenoglu, K Krajsek, SD Pier, M Herty
International Conference on Machine Learning, Optimization, and Data Science …, 2020
2020
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
Collaborative HPC-enabled workflows on the HBP Collaboratory using the Elephant framework
A Yegenoglu, M Denker, S Grün
INM-ICS Retreat 2018, 2018
2018
SPADE: Spike Pattern Detection and Evaluation in Massively Parallel Spike Trains
P Quaglio, A Yegenoglu, E Torre, D Endres, S Grün
Book of abstracts, 159, 2017
2017
Embedding the Elephant data analysis framework into a collaborative environment
M Denker, A Yegenoglu, S Grün
Neuroinformatics 2017, 2017
2017
Designing collaborative workflows for reproducible data analysis in electrophysiology based on the Elephant analysis framework
M Denker, A Yegenoglu, S Grün
Neuroscience 2017, 2017
2017
Management of data and metadata-an exemplary electrophysiological workflow for collaborative data analysis
J Sprenger, M Denker, A Yegenoglu, S Grün
The 47th annual meeting of the Society for Neuroscience, 2017
2017
ASSET for JULIA: executing massively parallel spike correlation analysis on a KNL cluster
C Canova, D Pleiter, M Denker, PF Baumeister, A Yegenoglu, W Klijn
1st HBP Student Conference, 2017
2017
Towards reproducible workflows for electrophysiology data using the Elephant analysis framework
M Denker, A Yegenoglu, S Grün
12th Meeting of the German Neuroscience Society, 2017
2017
Sharing Electrophysiological Data and Metadata on HBP Platforms–An Example Collaboratory Workflow
J Sprenger, A Yegenoglu, S Grün, M Denker
1st Human Brain Project Student Conference, 47, 2017
2017
Exploring the Usefulness of Formal Concept Analysis for Robust Detection of Spatio-temporal Spike Patterns in Massively Parallel Spike Trains
O Haemmerlé, G Stapleton, A Yegenoglu, E Torre, C Faron Zucker, ...
Computational and Systems Neuroscience, 2016
2016
Spatio Temporal Spike Pattern Detection in Massively Parallel Spike Trains using Formal Concept Analysis
A Yegenoglu, E Torre, D Endres, P Quaglio, S Grün
INM Retreat 2016, 2016
2016
Cool-IP
K Adrian, F Bürger, J Bürger, M Fitzner, H Jaspers, J Kleemann, P Norder, ...
2011
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Articles 1–20