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Alper Yegenoglu
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2020 – today
- 2024
- [j4]Alice Geminiani
, Judith Kathrein
Interdisciplinary and Collaborative Training in Neuroscience: Insights from the Human Brain Project Education Programme. Neuroinformatics 22(4): 657-678 (2024) - [j3]Cristian Jimenez-Romero, Alper Yegenoglu
Emergent communication enhances foraging behavior in evolved swarms controlled by spiking neural networks. Swarm Intell. 18(1): 1-29 (2024) - 2023
- [b1]Alper Yegenoglu:
Gradient-free optimization of artificial and biological networks using learning to learn. RWTH Aachen University, Germany, 2023 - [i4]Elena Pastorelli, Alper Yegenoglu, Nicole Kolodziej, Willem Wybo, Francesco Simula, Sandra Diaz, Johan Frederik Storm, Pier Stanislao Paolucci:
Two-compartment neuronal spiking model expressing brain-state specific apical-amplification, -isolation and -drive regimes. CoRR abs/2311.06074 (2023) - 2022
- [j2]Alper Yegenoglu
Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn. Frontiers Comput. Neurosci. 16: 885207 (2022) - [i3]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:
Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn. CoRR abs/2202.13822 (2022) - [i2]Cristian Jimenez-Romero, Alper Yegenoglu, Aarón Pérez Martín, Sandra Diaz-Pier, Abigail Morrison:
Emergent communication enhances foraging behaviour in evolved swarms controlled by Spiking Neural Networks. CoRR abs/2212.08484 (2022) - 2020
- [c3]Alper Yegenoglu
Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent. LOD (2) 2020: 78-92
2010 – 2019
- 2019
- [i1]Mehmet Süzen, Alper Yegenoglu:
Generalised learning of time-series: Ornstein-Uhlenbeck processes. CoRR abs/1910.09394 (2019) - 2017
- [j1]Pietro Quaglio, Alper Yegenoglu
Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE. Frontiers Comput. Neurosci. 11: 41 (2017) - 2016
- [c2]Alper Yegenoglu
Exploring the Usefulness of Formal Concept Analysis for Robust Detection of Spatio-temporal Spike Patterns in Massively Parallel Spike Trains. ICCS 2016: 3-16 - [c1]Johanna Senk
A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC. JHPCS 2016: 243-256
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last updated on 2024-12-10 20:45 CET by the dblp team
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