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 Concept Videos

Curvilinear Motion: Rectangular Components01:23

Curvilinear Motion: Rectangular Components

1.3K
Curvilinear motion characterizes the movement of a particle or object along a curved path, notably evident when envisioning a car navigating a winding road. If the car starts at point A, its position vector is established within a fixed frame of reference, where the ratio of the position vector to its magnitude signifies the unit vector pointing in the position vector's direction.
As the car advances, its position evolves over time. Quantifying the car's velocity involves computing the...
1.3K
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

938
A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
938
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

1.4K
A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
1.4K
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

871
In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
871
Curvilinear Motion: Normal and Tangential Components01:27

Curvilinear Motion: Normal and Tangential Components

1.0K
When a car traverses a curved road, its motion can be elucidated by breaking it down into tangential and normal components. The car-centric coordinates attached to the vehicle move with it.
The positive direction of the t-axis aligns with the increasing position of the car along the curved path, denoted by the unit vector ut. Simultaneously, the n-axis, perpendicular to the t-axis, dissects the curved path into differential arc segments, each forming the arc of a circle with a radius of...
1.0K
Three-Dimensional Force System01:30

Three-Dimensional Force System

2.9K
In mechanical engineering, a three-dimensional force system is a system of forces acting in three dimensions, with forces applied along the x, y, and z coordinate axes. The three-dimensional force system is an important concept in mechanical engineering, as it allows engineers to understand and analyze the behavior of objects and structures in three dimensions. By understanding the forces acting on a system, engineers can design more efficient and effective mechanical systems that can withstand...
2.9K

You might also read

Related Articles

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

Sort by
Same author

Identification of Retinal Ganglion Cell Firing Patterns Using Clustering Analysis Supplied with Failure Diagnosis.

International journal of neural systems·2018
Same author

Static Characteristics of a New Three-Dimensional Linear Homeomorphic Saccade Model.

International journal of neural systems·2017
Same author

Robust spike sorting of retinal ganglion cells tuned to spot stimuli.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2017
Same author

C-terminal phosphorylation regulates the kinetics of a subset of melanopsin-mediated behaviors in mice.

Proceedings of the National Academy of Sciences of the United States of America·2017
Same author

A neuron-based time-optimal controller of horizontal saccadic eye movements.

International journal of neural systems·2014
Same author

A physiological neural controller of a muscle fiber oculomotor plant in horizontal monkey saccades.

ISRN ophthalmology·2014

Related Experiment Video

Updated: Feb 16, 2026

Eye Tracking Young Children with Autism
09:03

Eye Tracking Young Children with Autism

Published on: March 27, 2012

46.6K

Dynamic Characteristics of a New Three-Dimensional Linear Homeomorphic Saccade Model.

Wei Zhou1, Xiu Zhai1, Alireza Ghahari1

  • 11 Department of Biomedical Engineering, University of Connecticut, 260 Glenbrook Road, Storrs CT 06269-3247, USA.

International Journal of Neural Systems
|December 21, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a linear eye movement model for 3D saccades, using a time-optimal neural control strategy and six muscle models. The model accurately replicates Listing's law and experimental data for various saccade types.

Keywords:
3D rotational dynamicsListing’s lawSaccadesmain sequence diagramsoculomotor plantsystem identification techniquetime-optical control

More Related Videos

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
06:46

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

7.6K
MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
09:46

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

13.2K

Related Experiment Videos

Last Updated: Feb 16, 2026

Eye Tracking Young Children with Autism
09:03

Eye Tracking Young Children with Autism

Published on: March 27, 2012

46.6K
Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
06:46

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

7.6K
MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
09:46

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

13.2K

Area of Science:

  • Neuroscience
  • Biomechanics
  • Ophthalmology

Background:

  • Understanding the neural control of eye movements is crucial for diagnosing and treating visual disorders.
  • Previous models have limitations in accurately replicating the complex dynamics of three-dimensional (3D) saccadic eye movements.
  • Anatomical and physiological evidence suggests specific mechanisms underlying saccade generation.

Purpose of the Study:

  • To introduce a linear homeomorphic eye movement model for 3D saccades.
  • To implement a time-optimal neural control strategy for simulating saccadic eye movements.
  • To validate the model's consistency with anatomical and physiological evidence.

Main Methods:

  • Developed a linear homeomorphic eye movement model incorporating six linear muscle models.
  • Modeled each muscle as a parallel combination of viscosity and elasticity, with an active-state tension generator.
  • Implemented a time-optimal, 2D commutative neural controller and a pulley system to modulate muscle pulling direction.
  • Utilized time domain system identification techniques to estimate model parameters and neural inputs from saccade data.

Main Results:

  • The model successfully produces 3D saccadic eye movements consistent with anatomical and physiological evidence.
  • The time-optimal neural controller and pulley system effectively implement Listing's law in both static and dynamic simulations.
  • Model estimates showed an excellent match with experimental saccade data (20 horizontal, 5 vertical, 62 oblique saccades).

Conclusions:

  • The proposed linear homeomorphic eye movement model provides a robust framework for understanding 3D saccade generation.
  • The time-optimal neural control strategy and pulley system are key components in accurately simulating saccadic eye movements.
  • The model's high fidelity with experimental data supports its validity and potential for future research in eye movement disorders.