Marius E. Yamakou

According to our database, Marius E. Yamakou authored at least 5 papers between 2018 and 2025.

Collaborative distances:

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

2025

Self-induced stochastic resonance: A physics-informed machine learning approach.

Divyesh Savaliya, Marius E. Yamakou

CoRR, October, 2025

2024

Dynamics of neural fields with exponential temporal kernel.

Elham Shamsara, Marius E. Yamakou, Fatihcan M. Atay, Jürgen Jost

Theory Biosci., June, 2024

Quantifying and Maximizing the Information Flux in Recurrent Neural Networks.

Claus Metzner, Marius E. Yamakou, Dennis Voelkl, Achim Schilling, Patrick Krauss

Neural Comput., March, 2024

2020

Optimal Self-Induced Stochastic Resonance in Multiplex Neural Networks: Electrical vs. Chemical Synapses.

Marius E. Yamakou, Poul G. Hjorth, Erik A. Martens

Frontiers Comput. Neurosci., 2020

2018

Weak-noise-induced transitions with inhibition and modulation of neural oscillations.

Marius E. Yamakou, Jürgen Jost

Biol. Cybern., 2018