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The synchronization in four forced FitzHugh–Nagumo (FHN) systems is studied, both experimentally and by numerical simulations of a model. We show that synchronization may be achieved either by coupling of systems through bidirectional diffusive interactions, by introducing a common noise to all systems or by combining both ingredients, noise and coupling… (More)

With a modulated CO2 laser as a standard model of periodically driven multistable systems, we experimentally demonstrate that a small-amplitude optoelectronic feedback perturbation can efficiently transform a bursting chaotic system to a nonchaotic one. Numerical simulations are in excellent agreement with the experimental results. The control has also been… (More)

- Marzena Ciszak, S. Euzzor, Fortunato Tito Arecchi, Riccardo Meucci
- Physical review. E, Statistical, nonlinear, and…
- 2013

The FitzHugh-Nagumo neurons driven by a periodic forcing undergo a period-doubling route to chaos and a transition to mixed-mode oscillations. When coupled, their dynamics tend to be synchronized. We show that the chaotically spiking neurons change their internal dynamics to subthreshold oscillations, the phenomenon referred to as firing death. These… (More)

- E Pugliese, Riccardo Meucci, S. Euzzor, Joana G. Freire, Jason A. C. Gallas
- Scientific reports
- 2015

We report a detailed experimental study of the complex behavior of a dc low-pressure plasma discharge tube of the type commonly used in commercial illuminated signs, in a microfluidic chip recently proposed for visible analog computing, and other practical devices. Our experiments reveal a clear quasiperiodicity route to chaos, the two competing frequencies… (More)

- Riccardo Meucci, S. Euzzor, E Pugliese, Samuel Zambrano, Márcia R Gallas, Jason A. C. Gallas
- Physical review letters
- 2016

Phase-control techniques of chaos aim to extract periodic behaviors from chaotic systems by applying weak harmonic perturbations with a suitably chosen phase. However, little is known about the best strategy for selecting adequate perturbations to reach desired states. Here we use experimental measures and numerical simulations to assess the benefits of… (More)

- Jesús M. Seoane, Samuel Zambrano, S. Euzzor, Riccardo Meucci, Fortunato Tito Arecchi, Miguel A. F. Sanjuán
- Physical review. E, Statistical, nonlinear, and…
- 2008

In this paper we study how to avoid escapes in open dynamical systems in the presence of dissipation and forcing, as it occurs in realistic physical situations. We use as a prototype model the Helmholtz oscillator, which is the simplest nonlinear oscillator with escapes. For some parameter values, this oscillator presents a critical value of the forcing for… (More)

Here we study how to control the dynamics of excitable systems by using the phase control technique. Excitable systems are relevant in neuronal dynamics and therefore this method might have important applications. We use the periodically driven FitzHugh–Nagumo (FHN) model, which displays both spiking and non-spiking behaviours in chaotic or periodic… (More)

- B. K. Goswami, S. Euzzor, Kais Al Naimee, A. Geltrude, Riccardo Meucci, Fortunato Tito Arecchi
- Physical review. E, Statistical, nonlinear, and…
- 2009

Stochastic disturbances and spikes (sudden sharp fluctuations of any system parameter), commonly observed among natural and laboratory-scale systems, can perturb the multistable dynamics significantly and become a serious impediment when the device is designed for a certain dynamical behavior. We experimentally demonstrate that suitable periodic modulation… (More)

- Julio César Gonzalez-Henao, E Pugliese, S. Euzzor, S. F. Abdalah, Riccardo Meucci, José Antônio Roversi
- Scientific reports
- 2015

The control of quantum entanglement in systems in contact with environment plays an important role in information processing, cryptography and quantum computing. However, interactions with the environment, even when very weak, entail decoherence in the system with consequent loss of entanglement. Here we consider a system of two coupled oscillators in… (More)

- Yubo Zou, Jobst Heitzig, +6 authors Juergen Kurths
- 2012

Recurrence networks are a novel tool of nonlinear time series analysis allowing the characterisation of higher-order geometric properties of complex dynamical systems based on recurrences in phase space, which are a fundamental concept in classical mechanics. In this letter, we demonstrate that recurrence networks obtained from various deterministic model… (More)