Literature DB >> 3730501

On the time reversal of noise signals.

I Z Steinberg.   

Abstract

This paper addresses the question of whether, and under what conditions, a noise trace changes its statistical properties when the time axis is reversed in direction. The autocorrelation function of the noise or its power spectrum cannot be used to identify the directionality of time in a noise signal since both are always the same for the signal and for its time reverse, regardless of the characteristics of the noise. However, the autocorrelation function can be generalized to represent the average of the products of powers of the signal at pairs of time instances separated by a given interval. If the powers are not the same for the first and second time instances, the generalized autocorrelation function can detect whether the statistical properties of a noise signal change upon the reversal of the direction of the time axis. We show that noise generated by systems that obey microscopic reversibility, i.e., that are at thermodynamic equilibrium, show the same statistical properties when evaluated forward and backward in time. A noise signal that does not demonstrate such time-reversal behavior discloses that the system that generates it is not at thermodynamic equilibrium. Several model examples are presented for illustration.

Mesh:

Year:  1986        PMID: 3730501      PMCID: PMC1329669          DOI: 10.1016/S0006-3495(86)83449-X

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  12 in total

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Authors:  E Haas; M Wilchek; E Katchalski-Katzir; I Z Steinberg
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2.  Fluorescence spectroscopy of proteins.

Authors:  L Stryer
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Review 3.  Conductance fluctuations and ionic pores in membranes.

Authors:  E Neher; C F Stevens
Journal:  Annu Rev Biophys Bioeng       Date:  1977

4.  Multiple conductance states of single acetylcholine receptor channels in embryonic muscle cells.

Authors:  O P Hamill; B Sakmann
Journal:  Nature       Date:  1981-12-03       Impact factor: 49.962

5.  Conductance fluctuations from the inactivation process of sodium channels in myelinated nerve fibres.

Authors:  F Conti; B Neumcke; W Nonner; R Stämpfli
Journal:  J Physiol       Date:  1980-11       Impact factor: 5.182

6.  Covariance of nonstationary sodium current fluctuations at the node of Ranvier.

Authors:  F J Sigworth
Journal:  Biophys J       Date:  1981-04       Impact factor: 4.033

7.  The variance of sodium current fluctuations at the node of Ranvier.

Authors:  F J Sigworth
Journal:  J Physiol       Date:  1980-10       Impact factor: 5.182

Review 8.  Voltage-dependent channels in planar lipid bilayer membranes.

Authors:  R Latorre; O Alvarez
Journal:  Physiol Rev       Date:  1981-01       Impact factor: 37.312

9.  Intramolecular dynamics of chain molecules monitored by fluctuations in efficiency of excitation energy transfer. A theoretical study.

Authors:  E Haas; I Z Steinberg
Journal:  Biophys J       Date:  1984-10       Impact factor: 4.033

10.  A K+-selective, three-state channel from fragmented sarcoplasmic reticulum of frog leg muscle.

Authors:  P P Labarca; C Miller
Journal:  J Membr Biol       Date:  1981       Impact factor: 1.843

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  8 in total

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2.  Event ordering in live-cell imaging determined from temporal cross-correlation asymmetry.

Authors:  Daniel R Sisan; Defne Yarar; Clare M Waterman; Jeffrey S Urbach
Journal:  Biophys J       Date:  2010-06-02       Impact factor: 4.033

3.  Measurement of monomer-oligomer distributions via fluorescence moment image analysis.

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Journal:  Biophys J       Date:  2006-08-25       Impact factor: 4.033

4.  Adjacent interval analysis distinguishes among gating mechanisms for the fast chloride channel from rat skeletal muscle.

Authors:  A L Blatz; K L Magleby
Journal:  J Physiol       Date:  1989-03       Impact factor: 5.182

5.  The spectroscopic basis of fluorescence triple correlation spectroscopy.

Authors:  William K Ridgeway; David P Millar; James R Williamson
Journal:  J Phys Chem B       Date:  2012-02-08       Impact factor: 2.991

6.  Vectorized data acquisition and fast triple-correlation integrals for Fluorescence Triple Correlation Spectroscopy.

Authors:  William K Ridgeway; David P Millar; James R Williamson
Journal:  Comput Phys Commun       Date:  2012-12-31       Impact factor: 4.390

7.  Revival of high-order fluorescence correlation analysis: generalized theory and biochemical applications.

Authors:  Artem V Melnykov; Kathleen B Hall
Journal:  J Phys Chem B       Date:  2009-11-26       Impact factor: 2.991

8.  Molecular aggregation characterized by high order autocorrelation in fluorescence correlation spectroscopy.

Authors:  A G Palmer; N L Thompson
Journal:  Biophys J       Date:  1987-08       Impact factor: 4.033

  8 in total

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