Expertises
Engineering & Materials Science
# Algebra
# Data Storage Equipment
# Dynamic Response
# Learning Algorithms
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Publicaties
Recent
van Beurden, A. W.
, Meylahn, J. M., Achterhof, S., Buijink, R., Olde Engberink, A., Michel, S., Meijer, J. H., & Rohling, J. H. T. (2023).
Reduced Plasticity in Coupling Strength in the Aging SCN Clock as Revealed by Kuramoto Modeling.
Journal of Biological Rhythms,
38(5), 461-475.
https://doi.org/10.1177/07487304231175191
Barfuss, W.
, & Meylahn, J. M. (2023).
Intrinsic fluctuations of reinforcement learning promote cooperation.
Scientific reports,
13(1), Article 1309.
https://doi.org/10.1038/s41598-023-27672-7
den Boer, A. V.
, Meylahn, J. M., & Schinkel, M. P. (2022).
Artificial Collusion: Examining Supracompetitive Pricing by Q-Learning Algorithms. (pp. 1-49). (Amsterdam Law School Research Paper; No. 2022-25), (Amsterdam Center for Law & Economics Working Paper ; No. 2022-06). Social Science Research Network (SSRN).
https://doi.org/10.2139/ssrn.4213600
Meylahn, J., & Barfuss, W. (2022).
Intrinsic fluctuations of reinforcement learning promote cooperation. (pp. 1-9). ArXiv.org.
https://doi.org/10.48550/arXiv.2209.01013
Meylahn, J.
, & den Boer, A. (2022).
Learning to Collude in a Pricing Duopoly.
Manufacturing & service operations management,
24(5), 2577–2594.
https://doi.org/10.1287/msom.2021.1074
Meylahn, J. M., & Janssen, L. (2022).
Limiting Dynamics for Q-Learning with Memory One in Symmetric Two-Player, Two-Action Games.
Complexity,
2022, Article 4830491.
https://doi.org/10.1155/2022/4830491
Achterhof, S.
, & Meylahn, J. M. (2021).
Two-community noisy Kuramoto model with general interaction strengths. II.
Chaos,
31(3), Article 033116.
https://doi.org/10.1063/5.0022625
Achterhof, S.
, & Meylahn, J. M. (2021).
Two-community noisy Kuramoto model with general interaction strengths. I.
Chaos,
31(3), Article 033115.
https://doi.org/10.1063/5.0022624
Meylahn, J. M. (2020).
Two-community noisy Kuramoto model.
Nonlinearity,
33(4), 1847-1880.
https://doi.org/10.1088/1361-6544/ab6814
Rohling, J. H. T.
, & Meylahn, J. M. (2020).
Two-Community Noisy Kuramoto Model Suggests Mechanism for Splitting in the Suprachiasmatic Nucleus.
Journal of Biological Rhythms,
35(2), 158-166.
https://doi.org/10.1177/0748730419898314
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Vakken Collegejaar 2023/2024
Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.
Vakken Collegejaar 2022/2023
Contactgegevens
Bezoekadres
Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
(gebouwnr. 11), kamer 4009
Hallenweg 19
7522NH Enschede
Postadres
Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
4009
Postbus 217
7500 AE Enschede