Clinical applications of control systems models: The neural integrators for eye movements

Shirin Sadeghpour, David S. Zee, R. John Leigh

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The first models that were proposed to account for the neural control of eye movements applied a classic control systems approach, including feedback, and measured system responses to sinusoidal and transient stimuli. Although such models provided many insights, their limitations were quickly recognized, such as their inability to account for anticipatory responses. Another question was whether models with lumped transfer functions could usefully represent a population of neurons, in which individual units were shown to encode a spectrum of different signals, including resting discharge rates and noise. Recent trends have been towards neural network models and Bayesian operators, which account for observed properties such as the variability of responses and predictive behavior, but often puzzle clinicians by their complexity and non-intuitive operations. We propose that, since all models are incomplete, it makes sense to select the simplest model that can address the topic of interest. We examine two aspects of abnormal ocular motor control, affecting the common integrator for eye movements, and the vestibular velocity storage mechanism. In both cases, we show how classic control systems provided substantial insights into clinical disorders—such as gaze-evoked nystagmus and periodic alternating nystagmus—as well as suggesting new questions, experiments, and potential treatments.

Original languageEnglish (US)
Title of host publicationProgress in Brain Research
EditorsStefano Ramat, Aasef G. Shaikh
PublisherElsevier B.V.
Pages103-114
Number of pages12
ISBN (Print)9780444642332
DOIs
StatePublished - 2019

Publication series

NameProgress in Brain Research
Volume248
ISSN (Print)0079-6123
ISSN (Electronic)1875-7855

Keywords

  • Bayes theorem
  • Control systems
  • Eye movements
  • Neural integrator
  • Neural networks
  • Saccades
  • Velocity storage
  • Vestibulo-ocular reflex

ASJC Scopus subject areas

  • Neuroscience(all)

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  • Cite this

    Sadeghpour, S., Zee, D. S., & Leigh, R. J. (2019). Clinical applications of control systems models: The neural integrators for eye movements. In S. Ramat, & A. G. Shaikh (Eds.), Progress in Brain Research (pp. 103-114). (Progress in Brain Research; Vol. 248). Elsevier B.V.. https://doi.org/10.1016/bs.pbr.2018.12.001