Dr. Marius Yamakou

Department of Data Science

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 Dynamics of neural fields with exponential temporal kernel (2024) Shamsara E, Yamakou M, Atay FM, Jost J 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 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 Synchronization in STDP-driven memristive neural networks with time-varying topology (2023) Yamakou M, Desroches M, Rodrigues S Journal article Coherence resonance and stochastic synchronization in a small-world neural network: an interplay in the presence of spike-timing-dependent plasticity (2023) Yamakou M, Inack EM Journal article Diversity-induced decoherence (2022) Yamakou M, Heinsalu E, Patriarca M, Scialla S Journal article Optimal Resonances in Multiplex Neural Networks Driven by an STDP Learning Rule (2022) Yamakou M, Tran TD, Jost J Journal article