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We consider an ensemble of coupled nonlinear noisy oscillators demonstrating in the thermodynamic limit an Ising-type transition. In the ordered phase and for finite ensembles stochastic flips of the mean field are observed with the rate depending on the ensemble size. When a small periodic force acts on the ensemble, the linear response of the system has a(More)
We report the occurrence of vibrational resonance in excitable systems. Namely, we show that an optimal amplitude of the high-frequency driving enhances the response of an excitable system to a low-frequency signal. The phenomenon is confirmed in an excitable electronic circuit and in the FitzHugh–Nagumo model. In this last case we also analyze the(More)
We examine the influence of noise on the propagation of harmonic signals with two frequencies through discrete bistable media. We show that random fluctuations enhance propagation of this kind of signals for low coupling strengths, similarly to what happens with purely monochromatic signals. As a more relevant finding, we observe that the frequency being(More)
Changes in trabecular bone composition during development of osteoporosis are used as a model for bone loss in microgravity conditions during a space flight. Symbolic dynamics and measures of complexity are proposed and applied to assess quantitatively the structural composition of bone tissue from 3D data sets of human tibia bone biopsies acquired by a(More)
We propose a mechanism for the quantized cycling time based on the interplay of cell-to-cell communication and stochasticity, by investigating a model of coupled genetic oscillators with known topology. In addition, we discuss how inhomogeneity can be used to enhance such quantizing effects, while the degree of variability obtained can be controlled using(More)
We report a noise-memory induced phase transition in an array of oscillatory neural systems, which leads to the suppression of synchronous oscillations and restoration of excitable dynamics. This phenomenon is caused by the systematic contributions of temporally correlated parametric noise, i.e., possessing a memory, which stabilizes a deterministically(More)
The aim of the study was to assess the 3D structural composition and deterioration of human bone tissue in osteoporosis using 3D datasets of human tibia bone biopsies acquired by a micro-CT scanner. We applied symbolic dynamics and measures of complexity to assess quantitatively the structural composition of bone tissue in 3D. Originally, these methods were(More)
This paper examines the dynamics of an ensemble of hysteresis-based genetic relaxation oscillators, focusing on the influence of noise and cell-to-cell coupling on the appearance of new dynamical regimes. In particular, we show that control of the coupling strength and noise can effectively change the dynamics of the system leading to behaviors such as(More)
To understand the physical mechanism behind the bone reconstruction, to predict the bone loss, and provide test objects for newly developed structural measures we need to simulate the bone architecture and its evolution. Two features distinguish our bone mod-eling approach from the results already reported in the literature. First we work with real bone(More)