activity
20162022
most citedPartial synchronization in empirical brain networks as a model for unihemispheric sleep

62 citations · 223 across the 7 of their papers we have counts for

collaborators

19 papers

nlin.AO2022

Generalized model for steady-state bifurcations without parameters in memristor-based oscillators with lines of equilibria

lvan A. Korneev, Andrei V. Slepnev, Anna S. Zakharova +2

We demonstrate how the pitchfork, transcritical and saddle-node bifurcations of steady states observed in dynamical systems with a finite number of isolated equilibrium points occu…

nlin.AO2021

Edges of inter-layer synchronization in multilayer networks with time-switching links

Muhittin Cenk Eser, Everton S. Medeiros, Mustafa Riza +1

We investigate the transition to synchronization in a two-layer network with time-switching inter-layer links. We focus on the role of the number of inter-layer links and the time-…

nlin.AO2021

Asymmetry-induced order in multilayer networks

Everton S Medeiros, Ulrike Feudel, Anna Zakharova

Symmetries naturally occur in real-world networks and can significantly influence the observed dynamics. For instance, many synchronization patterns result from the underlying netw…

nlin.AO202016 cited

Structural anomalies in brain networks induce dynamical pacemaker effects

I. Koulierakis, D. A. Verganelakis, I. Omelchenko +3

Dynamical effects on healthy brains and brains affected by tumor are investigated via numerical simulations. The brains are modeled as multilayer networks consisting of neuronal os…

nlin.AO2020

Solitary states in multiplex neural networks: onset and vulnerability

Leonhard Schuelen, David A. Janzen, Everton S. Medeiros +1

We investigate solitary states in a two-layer multiplex network of FitzHugh-Nagumo neurons in the oscillatory regime. We demonstrate how solitary states can be induced in a multipl…

nlin.AO2020

Control of coherence resonance in multiplex neural networks

M. Masoliver, C. Masoller, A. Zakharova

We study the dynamics of two neuronal populations weakly and mutually coupled in a multiplexed ring configuration. We simulate the neuronal activity with the stochastic FitzHugh-Na…