49 citations · 167 across the 22 of their papers we have counts for
23 papers
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…
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,…
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…
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…
Self-induced stochastic resonance: A physics-informed machine learning approach
Divyesh Savaliya, Marius E. Yamakou
Self-induced stochastic resonance (SISR) is the emergence of coherent oscillations in slow-fast excitable systems driven solely by noise, without external periodic forcing or proxi…
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…