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Alper Yegenoglu
ORCID
Publication Activity (10 Years)
Years Active: 2016-2024
Publications (10 Years): 10
Top Topics
Formal Concept Analysis
Parameter Space
Neural Network
Kalman Filter
Top Venues
CoRR
Frontiers Comput. Neurosci.
LOD (2)
ICCS
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Publications
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Cristian Jimenez-Romero
,
Alper Yegenoglu
,
Aarón Pérez Martín
,
Sandra Diaz-Pier
,
Abigail Morrison
Emergent communication enhances foraging behavior in evolved swarms controlled by spiking neural networks.
Swarm Intell.
18 (1) (2024)
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
(2023)
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
(2022)
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
(2022)
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 Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn.
Frontiers Comput. Neurosci.
16 (2022)
Alper Yegenoglu
,
Kai Krajsek
,
Sandra Díaz-Pier
,
Michael Herty
Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent.
LOD (2)
(2020)
Mehmet Süzen
,
Alper Yegenoglu
Generalised learning of time-series: Ornstein-Uhlenbeck processes.
CoRR
(2019)
Pietro Quaglio
,
Alper Yegenoglu
,
Emiliano Torre
,
Dominik Endres
,
Sonja Grün
Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE.
Frontiers Comput. Neurosci.
11 (2017)
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
A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC.
JHPCS
(2016)
Alper Yegenoglu
,
Pietro Quaglio
,
Emiliano Torre
,
Sonja Grün
,
Dominik Endres
Exploring the Usefulness of Formal Concept Analysis for Robust Detection of Spatio-temporal Spike Patterns in Massively Parallel Spike Trains.
ICCS
(2016)