10 citations · 33 across the 16 of their papers we have counts for
Showing 2026Show all
3 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…