Recurrence quantification analysis of a three level trophic chain model

Bhardwaj, Rashmi; Das, Saureesh

doi:10.1016/j.heliyon.2019.e02182

Cited by 8 publications

(2 citation statements)

References 33 publications

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“…Pupil nonlinear variables. Recurrence Quantification Analysis has been used to describe several biological systems 85 , 86 including the pupil oscillatory behavior 87 and has been applied also to EEG 68 , 88 and heart rate 89 of subjects with different hypnotizability.…”

Section: Methodsmentioning

confidence: 99%

Linear and non linear measures of pupil size as a function of hypnotizability

Lanatà

Greco

Ciardelli

et al. 2021

Sci Rep

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Higher arousal and cortical excitability have been observed in high hypnotizable individuals (highs) with respect to low hypnotizables (lows), which may be due to differences in the activation of ascending activating systems. The present study investigated the possible hypnotizability-related difference in the cortical noradrenergic tone sustained by the activity of the Locus Coeruleus which is strongly related to pupil size. This was measured during relaxation in three groups of participants—highs (N = 15), lows (N = 15) and medium hypnotizable individuals (mediums, N = 11)—in the time and frequency domains and through the Recurrence Quantification Analysis. ECG and Skin Conductace (SC) were monitored to extract autonomic indices of relaxation (heart interbeats intervals, parasympathetic component of heart rate variability (RMSSD) and tonic SC (MeanTonicSC). Most variables indicated that participants relaxed throughout the session. Pupil features did not show significant differences between highs, mediums and lows, except for the spectral Band Median Frequency which was higher in mediums than in lows and highs at the beginning, but not at the end of the session.Thus, the present findings of pupil size cannot account for the differences in arousal and motor cortex excitability observed between highs and lows in resting conditions.

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Section: Methodsmentioning

confidence: 99%

Linear and non linear measures of pupil size as a function of hypnotizability

Lanatà

Greco

Ciardelli

et al. 2021

Sci Rep

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“…For a periodic system diagonal lines are longer which for chaotic system RP shows broken short lines. Recently [19] has provided a very useful description of applying RPs and recurrence quantification analysis to unravel the complex dynamics of general problem of three species interaction in ecology. In the following section, we extend the analysis of complexity to the problem associated with neuronal dynamics, an area of current interest in neuro-bio-science [23].…”

Section: Recurrence Plotmentioning

confidence: 99%

Chaotic Dynamics and Complexity in Real and Physical Systems

Das¹,

Saha²

2021

Advances in Dynamical Systems Theory, Models, Algorithms and Applications

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Emergence of chaos and complex behavior in real and physical systems has been discussed within the framework of nonlinear dynamical systems. The problems investigated include complexity of Child’s swing dynamics , chaotic neuronal dynamics (FHN model), complex Food-web dynamics, Financial model (involving interest rate, investment demand and price index) etc. Proper numerical simulations have been carried out to unravel the complex dynamics of these systems and significant results obtained are displayed through tables and various plots like bifurcations, attractors, Lyapunov exponents, topological entropies, correlation dimensions, recurrence plots etc. The significance of artificial neural network (ANN) framework for time series generation of some dynamical system is suggested.

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