2018
DOI: 10.3389/fphys.2018.00626
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Meditation-Induced Coherence and Crucial Events

Abstract: In this paper we emphasize that 1/f noise has two different origins, one compatible with Laplace determinism and one determined by unpredictable crucial events. The dynamics of heartbeats, manifest as heart rate variability (HRV) time series, are determined by the joint action of these different memory sources with meditation turning the Laplace memory into a strongly coherent process while exerting an action on the crucial events favoring the transition from the condition of ideal 1/f noise to the Gaussian ba… Show more

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Cited by 11 publications
(15 citation statements)
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“…However, the method of stripes depends only on the statistics of crucial events and it is independent of the anomalous intensity of the crucial events as well as of SFBM. All this is described by Figure 3, where the left panel refers to the time series of Equation (51) and the right panel to the time series of Equation (56). We see that the stripes kill the anomalous SFBM scaling, H = 0.7, which is larger than the AFBM scaling, η = 0.625.…”
Section: With Stripesmentioning
confidence: 92%
See 3 more Smart Citations
“…However, the method of stripes depends only on the statistics of crucial events and it is independent of the anomalous intensity of the crucial events as well as of SFBM. All this is described by Figure 3, where the left panel refers to the time series of Equation (51) and the right panel to the time series of Equation (56). We see that the stripes kill the anomalous SFBM scaling, H = 0.7, which is larger than the AFBM scaling, η = 0.625.…”
Section: With Stripesmentioning
confidence: 92%
“…In other words, the method of stripes makes the AFBM fluctuations equivalent to Poisson fluctuations. Finally, we detect the time distances τ i between two consecutive crossings of the origin for both the case (51) and (56). We evaluate the cross-correlation function…”
Section: With Stripesmentioning
confidence: 99%
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“…Moreover, in general healthy neurophysiological processes also generate the condition of ideal 1/f noise which is a marker of maximal resilience. Diseases [18] or difficult tasks [19] may force neurophysiological processes to significantly depart from this ideal condition while still remaining in the crucial regime of µ < 3.…”
Section: Introductionmentioning
confidence: 99%