Literature DB >> 1391112

Differentiation of linearly correlated noise from chaos in a biologic system using surrogate data.

S J Schiff1, T Chang.   

Abstract

Experimental time-series of human H-reflexes were analyzed for the presence of fractal structure or deterministic chaos. Surrogate data sets consisting of stochastic time-series with preservation of selected properties of the experimental time-series were used as mathematical controls. Artifacts generated during the analysis of the experimental data are identified, and shown to be due to linear correlation in the original time-series. The method is simple and generally applicable to the non-linear analysis of time-series from any experimental system.

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Year:  1992        PMID: 1391112     DOI: 10.1007/bf00200982

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  10 in total

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Authors:  C C King
Journal:  Prog Neurobiol       Date:  1991       Impact factor: 11.685

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Authors: 
Journal:  Phys Rev A Gen Phys       Date:  1988-09-15

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Journal:  Exp Neurol       Date:  1976-07       Impact factor: 5.330

4.  Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series.

Authors:  G Sugihara; R M May
Journal:  Nature       Date:  1990-04-19       Impact factor: 49.962

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Authors:  A Babloyantz; A Destexhe
Journal:  Proc Natl Acad Sci U S A       Date:  1986-05       Impact factor: 11.205

6.  Optimal stimulus duration for the H reflex.

Authors:  M Panizza; J Nilsson; M Hallett
Journal:  Muscle Nerve       Date:  1989-07       Impact factor: 3.217

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Authors:  R L Braddom; E W Johnson
Journal:  Arch Phys Med Rehabil       Date:  1974-09       Impact factor: 3.966

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Authors:  P Rudomin; H Dutton
Journal:  J Neurophysiol       Date:  1969-03       Impact factor: 2.714

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Authors:  G G Somjen; C J Health
Journal:  Exp Neurol       Date:  1966-05       Impact factor: 5.330

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Authors:  W RALL; C C HUNT
Journal:  J Gen Physiol       Date:  1956-01-20       Impact factor: 4.086

  10 in total
  9 in total

1.  Fractal correlation in human H-reflex.

Authors:  D Nozaki; K Nakazawa; Y Yamamoto
Journal:  Exp Brain Res       Date:  1995       Impact factor: 1.972

2.  Discriminating deterministic versus stochastic dynamics in neuronal activity.

Authors:  S J Schiff; T Sauer; T Chang
Journal:  Integr Physiol Behav Sci       Date:  1994 Jul-Sep

3.  Operation Everest II: an indication of deterministic chaos in human heart rate variability at simulated extreme altitude.

Authors:  Y Yamamoto; R L Hughson; J R Sutton; C S Houston; A Cymerman; E L Fallen; M V Kamath
Journal:  Biol Cybern       Date:  1993       Impact factor: 2.086

4.  Stochastic versus deterministic variability in simple neuronal circuits: II. Hippocampal slice.

Authors:  S J Schiff; K Jerger; T Chang; T Sauer; P G Aitken
Journal:  Biophys J       Date:  1994-08       Impact factor: 4.033

5.  Fractal character of the electrocardiogram: distinguishing heart-failure and normal patients.

Authors:  R G Turcott; M C Teich
Journal:  Ann Biomed Eng       Date:  1996 Mar-Apr       Impact factor: 3.934

6.  Supraspinal effects on the fractal correlation in human H-reflex.

Authors:  D Nozaki; K Nakazawa; Y Yamamoto
Journal:  Exp Brain Res       Date:  1996-11       Impact factor: 1.972

7.  Low-dimensional attractor for neural activity from local field potentials in optogenetic mice.

Authors:  Sorinel A Oprisan; Patrick E Lynn; Tamas Tompa; Antonieta Lavin
Journal:  Front Comput Neurosci       Date:  2015-10-02       Impact factor: 2.380

8.  Cocaine-Induced Changes in Low-Dimensional Attractors of Local Field Potentials in Optogenetic Mice.

Authors:  Sorinel A Oprisan; Julia Imperatore; Jessica Helms; Tamas Tompa; Antonieta Lavin
Journal:  Front Comput Neurosci       Date:  2018-01-31       Impact factor: 2.380

9.  Dopamine receptor antagonists effects on low-dimensional attractors of local field potentials in optogenetic mice.

Authors:  Sorinel A Oprisan; Xandre Clementsmith; Tamas Tompa; Antonieta Lavin
Journal:  PLoS One       Date:  2019-10-16       Impact factor: 3.240

  9 in total

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