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

Vestibuloocular reflex arc analysis using an experimentally constrained neural network.

K J Quinn1, N Schmajuk, A Jain

  • 1Department of Physiology, Northwestern University Medical School, Chicago, IL 60611.

Biological Cybernetics
|January 1, 1992
PubMed
Summary
This summary is machine-generated.

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

Clinical outcomes after a diagnosis of brain metastases in patients with estrogen- and/or human epidermal growth factor receptor 2-positive versus triple-negative breast cancer.

Annals of oncology : official journal of the European Society for Medical Oncology·2008
Same author

Genetic polymorphism of type 1 intermediate filament wool keratin gene in native Indian sheep breeds.

Biochemical genetics·2008
Same author

Toxicity of Certain Penta-Coordinated Organotin(IV) and Tetra-Coordinated Tin(II) Complexes of Heterocyclic beta-Diketones Against the Larvae of Aedes Aegypti (Liston).

Metal-based drugs·2008
Same author

Time resolved fluorescence spectroscopy of Eu(III) complexation with alpha-hydroxy isobutyric acid.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy·2008
Same author

Design and development of a mucoadhesive buccal film bearing progesterone.

Die Pharmazie·2008
Same author

Efficacy and tolerability of valsartan in combination with hydrochlorothiazide in essential hypertension.

Clinical drug investigation·2008
Same journal

Harmonic memory in phasor neural networks.

Biological cybernetics·2026
Same journal

Correction: Decreased spinal inhibition leads to undiversified locomotor patterns.

Biological cybernetics·2026
Same journal

Foundational issues of network models in biology.

Biological cybernetics·2026
Same journal

Dynamical mechanisms for coordinating long-term working memory based on the precision of spike-timing in cortical neurons.

Biological cybernetics·2026
Same journal

Distinct dopaminergic spike-timing-dependent plasticity rules are suited to different functional roles.

Biological cybernetics·2026
Same journal

Fluctuation-response relations for a two-stage population of spiking neurons stimulated by common noise.

Biological cybernetics·2026
See all related articles

This study models the vestibuloocular reflex (VOR) using a neural network, revealing how it maintains visual stability during head movements. The model rediscovers established VOR processing principles, highlighting the effectiveness of bottom-up modeling approaches.

Area of Science:

  • Neuroscience
  • Computational Biology
  • Systems Neuroscience

Background:

  • The vestibuloocular reflex (VOR) stabilizes retinal images during head movements.
  • The VOR's function relies on a disynaptic reflex arc with complex dynamic and adaptive properties.

Purpose of the Study:

  • To model normal VOR function using a neural network.
  • To investigate the physiological and anatomical constraints of the disynaptic reflex arc.
  • To validate a bottom-up approach to neural function modeling.

Main Methods:

  • A simple neural network architecture was designed, constrained by the VOR's disynaptic reflex arc.
  • Global optimization was used to tune the network parameters.
  • The network's internal unit activations were analyzed.

Related Experiment Videos

Main Results:

  • The optimized network successfully replicated broadband response characteristics of the VOR.
  • Internal network units exhibited position or velocity activation, consistent with Skavenski and Robinson's model.
  • Increased network complexity did not alter the division of unit activation types.

Conclusions:

  • The study validates bottom-up approaches for modeling neural functions like the VOR.
  • The network architecture aligns with current theories on VOR adaptation and synaptic plasticity.
  • The model provides insights into the neural basis of visual stability during movement.