arXiv subjects

Guillermo Ortega

Publications and source records attributed to Guillermo Ortega.

4 recordsLinked to original sources

arXiv2012

Influence of paroxysmal activity on background synchronization in epileptic records

The presence of spikes and sharp waves in the recordings of epileptic patients may contaminate background signal synchronization in different ways. In this Technical Note, we present a simple procedure for assessing whether a particular synchronization method should be used (or not) with data from neurophysiological recordings commonly used to evaluate epilepsy. The information provided by this procedure makes it possible to differentiate true background synchronization from spike synchronization. This issue is particularly relevant when differentiating between the mechanisms underlying the onset of interictal epileptiform discharges and limbic network dynamics.

q-bio.NC↗

arXiv2001

Triggering synchronized oscillations through arbitrarily weak diversity in close-to-threshold excitable media

It is shown that arbitrarily weak (frozen) heterogeneity can induce global synchronized oscillations in excitable media close to threshold. The work is carried out on networks of coupled van der Pol-FitzHugh-Nagumo oscillators. The result is shown to be robust against the presence of internal dynamical noise.

nlin.PS↗

arXiv2001

Detecting Determinism in High Dimensional Chaotic Systems

A method based upon the statistical evaluation of the differentiability of the measure along the trajectory is used to identify in high dimensional systems. The results show that the method is suitable for discriminating stochastic from deterministic systems even if the dimension of the latter is as high as 13. The method is shown to succeed in identifying determinism in electro-encephalogram signals simulated by means of a high dimensional system.

nlin.CD↗

arXiv2001

Discriminating dynamical from additive noise in the Van der Pol oscillator

We address the distinction between dynamical and additive noise in time series analysis by making a joint evaluation of both the statistical continuity of the series and the statistical differentiability of the reconstructed measure. Low levels of the latter and high levels of the former indicate the presence of dynamical noise only, while low values of the two are observed as soon as additive noise contaminates the signal. The method is presented through the example of the Van der Pol oscillator, but is expected to be of general validity for continuous-time systems.

nlin.CD↗