activity
20172026
most citedStochastic FitzHugh-Nagumo neuron model in excitable regime embeds a leaky integrate-and-fire model

49 citations · 167 across the 22 of their papers we have counts for

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13 papers · 1 filter

nlin.AO2026

Heterogeneity-enhanced stochastic resonance improves liquid-state computing in delayed spiking neural networks

Sandipan Nath, Marius E. Yamakou

We investigate the joint effects of stochastic forcing and quenched structural heterogeneity on stochastic resonance (SR) and liquid-state computation in a small-world network of e…

nlin.AO2026

Interaction order controls stochastic-resonance enhancement and redistribution in delayed multiplex neural networks

Alina Schlabritz, Marius E. Yamakou

We investigate stochastic resonance in a hierarchy of delayed excitable systems, from a single FitzHugh--Nagumo neuron to single-layer and duplex networks with autaptic, pairwise,…

nlin.AO2026

Analysis of inverse stochastic resonance: Effects of neural excitability and timescale separation

Marius E. Yamakou, Torben Krüger, Hermann Schulz-Baldes

We analyze inverse stochastic resonance (ISR) in a bistable FitzHugh--Nagumo neuron driven by additive noise in the voltage variable, focusing on how neural excitability and timesc…

nlin.AO2025

A Lyapunov stability proof and a port-Hamiltonian physics-informed neural network for chaotic synchronization in memristive neurons

Behnam Babaeian, Marius E. Yamakou

We study chaotic synchronization in a 5D Hindmarsh--Rose neuron model augmented with electromagnetic induction and a switchable memristive autapse. For two diffusively coupled iden…

nlin.AO2025★ 1 cited

Effect of diversity distribution symmetry on global oscillations of networks of excitable units

Stefano Scialla, Marco Patriarca, Els Heinsalu +2

We investigate the role of the degree of symmetry of the diversity distribution in shaping the collective dynamics of networks of coupled excitable units modeled by FitzHugh-Nagumo…

nlin.AO2024★ 10 cited

Reduced-order adaptive synchronization in a chaotic neural network with parameter mismatch: A dynamical system vs. machine learning approach

Jan Kobiolka, Marius E. Yamakou

In this paper, we address the reduced-order synchronization problem between two chaotic memristive Hindmarsh-Rose (HR) neurons of different orders using two distinct methods. The f…

nlin.AO2024

Inverse stochastic resonance in adaptive small-world neural networks

Marius E. Yamakou, Jinjie Zhu, Erik A. Martens

Inverse stochastic resonance (ISR) is a phenomenon where noise reduces rather than increases the firing rate of a neuron, sometimes leading to complete quiescence. ISR was first ex…

nlin.AO2023

Self-induced-stochastic-resonance breathing chimeras

Jinjie Zhu, Marius E. Yamakou

The study in [Phys. Rev. Lett. 117, 014102 (2016)] discovered a novel type of chimera state known as coherence-resonance chimera (CRC), which combines the effects of coherence reso…

nlin.AO2022★ 6 cited

Diversity-induced decoherence

Marius E. Yamakou, Els Heinsalu, Marco Patriarca +1

We analyze the effect of small-amplitude noise and heterogeneity in a network of coupled excitable oscillators with strong time scale separation. Using mean-field analysis, we unco…

nlin.AO2021★ 1 cited

Control of noise-induced coherent oscillations in three-neuron motifs

Florian Bönsel, Patrick Krauss, Claus Metzner +1

The phenomenon of self-induced stochastic resonance (SISR) requires a nontrivial scaling limit between the deterministic and the stochastic timescales of an excitable system, leadi…

nlin.AO2020★ 1 cited

Levy noise-induced self-induced stochastic resonance in a memristive neuron

Marius E. Yamakou, Tat Dat Tran

Self-induced stochastic resonance (SISR) is a subtle resonance mechanism requiring a nontrivial scaling limit between the stochastic and the deterministic timescales of an excitabl…

nlin.AO2020

Chaotic Synchronization of memristive neurons: Lyapunov function versus Hamilton function

Marius E. Yamakou

We study the dynamical behaviors of this improved memristive neuron model by changing external harmonic current and the magnetic gain parameters. The model shows rich dynamics incl…

nlin.AO2019★ 47 cited

Control of coherence resonance by self-induced stochastic resonance in a multiplex neural network

Yamakou E. Marius, Juergen Jost

We consider a two-layer multiplex network of diffusively coupled FitzHugh-Nagumo (FHN) neurons in the excitable regime. It is shown, in contrast to SISR in a single isolated FHN ne…