Alper Yegenoglu

According to our database, Alper Yegenoglu authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Interdisciplinary and Collaborative Training in Neuroscience: Insights from the Human Brain Project Education Programme.

Alice Geminiani, Judith Kathrein, Alper Yegenoglu, Franziska Vogel, Marcelo Armendáriz, Ziv Ben-Zion, Petrut Antoniu Bogdan, Joana Covelo, Marissa Díaz Pier, Karin Grasenick, Vitali Karasenko, Wouter Klijn, Tina Kokan, Carmen Alina Lupascu, Anna Lührs, Tara Mahfoud, Taylan Özden, Jens Egholm Pedersen, Luca Peres, Ingrid Reiten, Nikola Simidjievski, Inga Ulnicane, Michiel van der Vlag, Lyuba Zehl, Alois Saria, Sandra Diaz-Pier, Johannes Passecker

Neuroinformatics, October, 2024

Emergent communication enhances foraging behavior in evolved swarms controlled by spiking neural networks.

Cristian Jimenez-Romero, Alper Yegenoglu, Aarón Pérez Martín, Sandra Diaz-Pier, Abigail Morrison

Swarm Intell., March, 2024

2023

Gradient-free optimization of artificial and biological networks using learning to learn.

Alper Yegenoglu

PhD thesis, 2023

Two-compartment neuronal spiking model expressing brain-state specific apical-amplification, -isolation and -drive regimes.

Elena Pastorelli, Alper Yegenoglu, Nicole Kolodziej, Willem Wybo, Francesco Simula, Sandra Diaz, Johan Frederik Storm, Pier Stanislao Paolucci

CoRR, 2023

2022

Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn.

Alper Yegenoglu, Anand Subramoney, Thorsten Hater, Cristian Jimenez-Romero, Wouter Klijn, Aaron Perez Martin, Michiel van der Vlag, Michael Herty, Abigail Morrison, Sandra Diaz-Pier

Frontiers Comput. Neurosci., 2022

Emergent communication enhances foraging behaviour in evolved swarms controlled by Spiking Neural Networks.

Cristian Jimenez-Romero, Alper Yegenoglu, Aarón Pérez Martín, Sandra Diaz-Pier, Abigail Morrison

CoRR, 2022

Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn.

Alper Yegenoglu, Anand Subramoney, Thorsten Hater, Cristian Jimenez-Romero, Wouter Klijn, Aaron Perez Martin, Michiel van der Vlag, Michael Herty, Abigail Morrison, Sandra Diaz-Pier

CoRR, 2022

2020

Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent.

Alper Yegenoglu, Kai Krajsek, Sandra Díaz-Pier, Michael Herty

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

2019

Generalised learning of time-series: Ornstein-Uhlenbeck processes.

Mehmet Süzen, Alper Yegenoglu

CoRR, 2019

2017

Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE.

Pietro Quaglio, Alper Yegenoglu, Emiliano Torre, Dominik Endres, Sonja Grün

Frontiers Comput. Neurosci., 2017

2016

A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC.

Johanna Senk, Alper Yegenoglu, Olivier Amblet, Yury Brukau, Andrew P. Davison, David Roland Lester, Anna Lührs, Pietro Quaglio, Vahid Rostami, Andrew Rowley, Bernd Schuller, Alan Barry Stokes, Sacha Jennifer van Albada, Daniel Zielasko, Markus Diesmann, Benjamin Weyers, Michael Denker, Sonja Grün

Proceedings of the High-Performance Scientific Computing, 2016

Exploring the Usefulness of Formal Concept Analysis for Robust Detection of Spatio-temporal Spike Patterns in Massively Parallel Spike Trains.

Alper Yegenoglu, Pietro Quaglio, Emiliano Torre, Sonja Grün, Dominik Endres

Proceedings of the Graph-Based Representation and Reasoning, 2016