Dr. Marius Yamakou

Department of Data Science

A Lyapunov stability proof and a port-Hamiltonian physics-informed neural network for chaotic synchronization in memristive neurons (2026) Babaeian B, Yamakou M Journal article Self-induced stochastic resonance: A physics-informed machine learning approach (2026) Savaliya D, Yamakou M Journal article Effect of diversity distribution symmetry on global oscillations of networks of excitable units (2025) Scialla S, Patriarca M, Heinsalu E, Yamakou M, Cartwright JH Journal article Dynamical equivalence between resonant translocation of a polymer chain and diversity-induced resonance (2025) Patriarca M, Scialla S, Heinsalu E, Yamakou M, Cartwright JH Journal article Inverse stochastic resonance in adaptive small-world neural networks (2024) Yamakou M, Zhu J, Martens EA Journal article Quantifying and Maximizing the Information Flux in Recurrent Neural Networks (2024) Metzner C, Yamakou M, Voelkl D, Schilling A, Krauß P Journal article Reduced-order adaptive synchronization in a chaotic neural network with parameter mismatch: a dynamical system versus machine learning approach (2024) Kobiolka J, Habermann J, Yamakou M Journal article Dynamics of neural fields with exponential temporal kernel (2024) Shamsara E, Yamakou M, Atay FM, Jost J Journal article Self-induced-stochastic-resonance breathing chimeras (2023) Zhu J, Yamakou M Journal article Combined effects of spike-timing-dependent plasticity and homeostatic structural plasticity on coherence resonance (2023) Yamakou M, Kuehn C Journal article