Expertise
Engineering & Materials Science
# Algebra
# Data Storage Equipment
# Dynamic Response
# Learning Algorithms
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Publications
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. Advance online publication.
https://doi.org/10.1177/07487304231175191,
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. Advance online publication.
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, JM. (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, JM. (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. Advance online publication.
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. Advance online publication.
https://doi.org/10.1177/0748730419898314
UT Research Information System
Courses Academic Year 2023/2024
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
Courses Academic Year 2022/2023
Contact Details
Visiting Address
University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
(building no. 11), room 4029
Hallenweg 19
7522NH Enschede
The Netherlands
Mailing Address
University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
4029
P.O. Box 217
7500 AE Enschede
The Netherlands