Author

Marius E. Yamakou

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Preprint Aug 2026

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

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 excitable FitzHugh--Nagumo neurons. Heterogeneity is introduced separately through coupling strengths and time delays drawn from Gaussian, bi...

Sandipan Nath, Marius E. Yamakou · 0 citations

Preprint Aug 2026

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

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, triadic higher-order, and interlayer interactions. The response to weak periodic forcing is characterized by the spectral amplitude at the d...

Alina Schlabritz, Marius E. Yamakou · 1 citation

Preprint Aug 2026

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

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 timescale separation regulate the noise-induced modulation of spiking activity. A codimension-two bifurcation analysis identifies a narrow bistabl...

Marius E. Yamakou, Torben Krüger, H. Schulz-Baldes · 0 citations