Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A new framework for investigating both normal and abnormal eye movements.

Richard A Clement1, Richard V Abadi, David S Broomhead

  • 1Visual Sciences Unit, Institute of Child Health, University College London, 30 Guilford Street, London WC1N 1EH, UK. r.clement@ich.ucl.ac.uk

Progress in Brain Research
|January 2, 2003
PubMed
Summary

Nonlinear dynamics offers a unified framework for analyzing normal and abnormal eye movements. This approach uses fixed points and periodic orbits to understand oculomotor system stability and model predictions.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Analysing nystagmus waveforms: a computational framework.

Scientific reports·2021
Same author

Slow-fast control of eye movements: an instance of Zeeman's model for an action.

Biological cybernetics·2020
Same author

Phenomenology of the sound-induced flash illusion.

Experimental brain research·2014
Same author

A model of yeast glycolysis based on a consistent kinetic characterisation of all its enzymes.

FEBS letters·2013
Same author

Components of the neural signal underlying congenital nystagmus.

Experimental brain research·2012
Same author

A max-plus model of ribosome dynamics during mRNA translation.

Journal of theoretical biology·2012

Area of Science:

  • Oculomotor Systems
  • Nonlinear Dynamics
  • Biophysics

Background:

  • Understanding eye movements is crucial for both normal function and clinical diagnosis.
  • Existing frameworks may not encompass the full spectrum of oculomotor behavior.
  • Nonlinear dynamics provides a robust mathematical approach to complex biological systems.

Purpose of the Study:

  • To present nonlinear dynamics as a comprehensive framework for analyzing all types of eye movements.
  • To demonstrate how nonlinear dynamics can be applied to study the stability of oculomotor models.
  • To enable quantitative comparisons between different oculomotor models.

Main Methods:

  • Applying nonlinear dynamics techniques to the study of oculomotor behavior.
  • Analyzing the stability of oculomotor models using fixed points and periodic orbits.

Related Experiment Videos

  • Utilizing the method of delays to extract model parameters from eye position data.

    • Main Results:

    • Nonlinear dynamics provides a unified approach applicable to the entire range of oculomotor behavior.
    • Stability analysis of oculomotor models is feasible through fixed points and periodic orbits.
    • The method of delays allows for parameter recovery from eye position measurements.

    Conclusions:

    • Nonlinear dynamics offers a powerful quantitative framework for understanding normal and abnormal eye movements.
    • This approach facilitates direct comparison between theoretical oculomotor models and clinical recordings.
    • The framework supports the analysis of both normal and pathological oculomotor function.