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

Inertial Frames of Reference01:03

Inertial Frames of Reference

9.9K
Newton’s first law is usually considered to be a statement about reference frames. It provides a method for identifying a special type of reference frame: the inertial reference frame. In principle, we can make the net force on a body zero. If its velocity relative to a given frame is constant, then that frame is said to be inertial. So, by definition, an inertial reference frame is a reference frame where Newton's first law holds valid. Newton's first law applies to objects with...
9.9K
Non-inertial Frames of Reference01:27

Non-inertial Frames of Reference

8.5K
A reference frame accelerating or decelerating relative to an inertial frame is a non-inertial frame. To help understand this, consider what taking off in an airplane, turning a corner in a car, riding a merry-go-round, and the circular motion of a tropical cyclone all have in common. All these systems are accelerating, decelerating, or rotating relative to the Earth; hence, they all are non-inertial frames. All these systems exhibit inertial forces, which merely seem to arise from motion,...
8.5K
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

1.1K
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
1.1K
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

842
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
842
Kinematic Equations for Rotation01:30

Kinematic Equations for Rotation

980
In mechanics, when one observes a rigid body in rotational motion with constant angular acceleration, it is possible to establish equations for its rotational kinematics. This process resembles how linear kinematics are dealt with in simpler motion studies.
For instance, imagine a point A on a rigid body engaged in circular motion. The translational velocity of this particular point can be calculated by taking the time derivatives of the displacement equation, which essentially measures the...
980
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

703
Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
703

You might also read

Related Articles

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

Sort by
Same author

Sequential neural dynamics underlie unconscious integration and conscious perception of visual stimuli.

PLoS biology·2026
Same author

Silver bullets and sensory horizons.

The Behavioral and brain sciences·2026
Same author

Examining the relationship between ssVEP and psychophysical measures of contrast sensitivity, grating acuity, and orientation discrimination.

iScience·2026
Same author

Object Detection, Recognition, Deep Learning, and the Universal Law of Generalization.

Neural computation·2026
Same author

Starting a revolution with a refuted model?

The Behavioral and brain sciences·2025
Same author

Object recognition from sparse simulated phosphenes and curved segments.

Vision research·2025

Related Experiment Video

Updated: Mar 31, 2026

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

13.3K

A computational model for reference-frame synthesis with applications to motion perception.

Aaron M Clarke1, Haluk Öğmen2, Michael H Herzog1

  • 1Laboratory of Psychophysics, Brain Mind Institute, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland.

Vision Research
|October 18, 2015
PubMed
Summary
This summary is machine-generated.

The human brain processes visual motion using non-retinotopic reference frames, subtracting background motion to perceive object paths accurately. This study presents a mathematical framework explaining this complex visual perception.

Keywords:
Non-retinotopic processingTemporal correspondence problem

More Related Videos

An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles
09:27

An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles

Published on: August 25, 2020

4.8K
Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane
07:24

Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane

Published on: August 22, 2025

643

Related Experiment Videos

Last Updated: Mar 31, 2026

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

13.3K
An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles
09:27

An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles

Published on: August 25, 2020

4.8K
Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane
07:24

Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane

Published on: August 22, 2025

643

Area of Science:

  • Cognitive Neuroscience
  • Visual Perception
  • Mathematical Modeling

Background:

  • Gestalt psychology, particularly Duncker's work, highlighted perception of motion within non-retinotopic frames.
  • Example: A bicycle reflector's circular perceived motion versus its actual cycloidal path relative to external coordinates.

Purpose of the Study:

  • To present a general mathematical framework for explaining non-retinotopic motion processing.
  • To demonstrate the framework's application using diverse non-retinotopic motion paradigms.

Main Methods:

  • Development of a vector field-based mathematical framework.
  • Analysis of four distinct non-retinotopic motion paradigms.
  • Application of the framework to compute motion in the Ternus-Pikler display.

Main Results:

  • The proposed framework successfully models non-retinotopic motion perception.
  • Demonstration of how the brain subtracts reference frame motion (e.g., bicycle's horizontal movement).
  • Detailed computation of non-retinotopic motion within specific experimental paradigms.

Conclusions:

  • The vector field framework provides a robust explanation for non-retinotopic motion processing.
  • This approach clarifies how the brain constructs perceived motion by integrating object and reference frame movements.
  • The study offers a computable model for understanding complex visual motion perception.