Nonlinear dynamic systems evaluation of rhythmic' eye movements (optokinetic nystagmus).

  • Shelhamer M
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The last decade has seen a surge in the study of
nonlinear dynamical behavior in physiologic systems. In
this paper, some of the computational techniques most
commonly used to investigate the nonlinear dynamics of
these systems are described. Applications to eye
movement analysis are included, including the
validation of a mathematical model of optokinetic
nystagmus (OKN) eye movements. OKN appears to have some
nonlinear and deterministic component, along with
significant randomness. Fast phase starting and ending
points are somewhat predictable (deterministic), while
so-called 'exceptional events' analysis shows that they
also have a large random component. Surrogate data
methods suggest that the population of slow and fast
phases in OKN is more important than any specific
relationship between adjacent slow and fast phases.
Analysis of a statistical model for fast phase
intervals indicates that the model data are slightly
more random than the actual OKN.

Author-supplied keywords

  • Biological ; Models
  • Computational Biology/methods ; Human ; Image Proc
  • Computer-Assisted ; Models
  • Non-P.H.S.
  • Non-U.S. Gov't ; Support
  • Optokinetic/*physiology ; Reproducibility of Resu
  • Statistical ; Nystagmus
  • U.S. Gov't

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  • M Shelhamer

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