2011
DOI: 10.3390/ijms12106810
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Far from Equilibrium Percolation, Stochastic and Shape Resonances in the Physics of Life

Abstract: Key physical concepts, relevant for the cross-fertilization between condensed matter physics and the physics of life seen as a collective phenomenon in a system out-of-equilibrium, are discussed. The onset of life can be driven by: (a) the critical fluctuations at the protonic percolation threshold in membrane transport; (b) the stochastic resonance in biological systems, a mechanism that can exploit external and self-generated noise in order to gain efficiency in signal processing; and (c) the shape resonance… Show more

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Cited by 12 publications
(19 citation statements)
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References 97 publications
(111 reference statements)
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“…Considering the scale of our problem, this is an acceptable average. These results indicate the occurrence of a crystallization-like process in the aged myelin membranes indicative of a transition from a quasi-critical fluctuating state out of equilibrium in the fresh state to a relaxed rigid state with Gaussian distribution approaching equilibrium in the unfresh state, which is in agreement with the hypothesis of criticality for living matter proposed by recent theories [10,[12][13][14][35][36][37].…”
Section: Experimental and Data Analysissupporting
confidence: 79%
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“…Considering the scale of our problem, this is an acceptable average. These results indicate the occurrence of a crystallization-like process in the aged myelin membranes indicative of a transition from a quasi-critical fluctuating state out of equilibrium in the fresh state to a relaxed rigid state with Gaussian distribution approaching equilibrium in the unfresh state, which is in agreement with the hypothesis of criticality for living matter proposed by recent theories [10,[12][13][14][35][36][37].…”
Section: Experimental and Data Analysissupporting
confidence: 79%
“…This makes standard experimental probes probing the average structure inadequate for the visualization of this heterogeneity, requiring highly spatially resolved probes. Biological tissues are typically intrinsically heterogeneous; indeed, nowadays new features and properties have been visualized using scanning methods with high spatial resolutions, such as by Atomic Force Microscopy [38][39][40], Confocal Microscopy [40], Scanning Electron Microscopy [35] and Scanning micro X-ray diffraction [15][16][17][18][19][20][21]. Correlated spatial structural fluctuations in biological systems have been correlated with the emergence of quantum coherence in biological matter [35,41], in photosystems [42] and intrinsically disordered proteins [43,44], as well as in lamellar oxides showing quantum coherence [45][46][47][48], where non-Euclidean spatial geometries for signal transmission are able to emerge from a correlated disorder [22,48].…”
Section: Discussionmentioning
confidence: 99%
“…Figures 6 and 7 illustrate the mechanism and nature of stochastic resonance. The graphs show a sinusoidal response dependent upon the different noise levels [136] and a peak value at a specific noise level [135]. Such sinusoidal doseresponse phenomena are similar to the sinusoidal dose-response curves noted for homeopathically-prepared medicines in a bacterial cell metabolism model [126].…”
Section: Salient Signal For the Systemmentioning
confidence: 50%
“…Stochastic resonance is a common phenomenon in biological systems, especially neural networks and sensory systems. One example of SR in animals is the capacity for sensory detection of weak environmental signals heralding arrival of a predator threat [136,137]. Figures 6 and 7 illustrate the mechanism and nature of stochastic resonance.…”
mentioning
confidence: 99%
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