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

1.5K
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...
1.5K
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
Curvilinear Motion: Normal and Tangential Components01:27

Curvilinear Motion: Normal and Tangential Components

1.1K
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...
1.1K
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
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
Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

935
A stroke engine has a slider-crank mechanism that 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.
When an external force is exerted, it sets the crank into a rotational movement. This, in turn, instigates the motion of the connecting rod, leading to what is referred to as a general plane motion. This process involves two key points - point A on the connecting rod...
935

You might also read

Related Articles

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

Sort by
Same author

Dynamic trajectory cues drive sequenced integration in approach detectors.

bioRxiv : the preprint server for biology·2026
Same author

Experience-Dependent Gain Modulation Drives Thermosensory Responses in Behavior.

bioRxiv : the preprint server for biology·2026
Same author

Humans can use positive and negative spectrotemporal correlations to detect rising and falling pitch.

Nature human behaviour·2026
Same author

Afterimages drive a shared visual motion-reversal illusion in <i>Drosophila</i>.

bioRxiv : the preprint server for biology·2026
Same author

Spatial and morphological organization of mitochondria in neurons across a connectome.

Science (New York, N.Y.)·2025
Same author

Stability through plasticity: Finding robust memories through representational drift.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same journal

Frequency-dependent modulation of foveal contrast sensitivity by fine-scale exogenously triggered attention.

eLife·2026
Same journal

Estimating probabilities of malaria importation in southern Mozambique through modelling <i>P. falciparum</i> genomics and mobility patterns.

eLife·2026
Same journal

Conformational variability of HIV-1 Env trimer and viral vulnerability.

eLife·2026
Same journal

Disinformation elicits learning biases.

eLife·2026
Same journal

Correction: Generation of a transparent killifish line through multiplex CRISPR/Cas9mediated gene inactivation.

eLife·2026
Same journal

Differential regulation of hepatic macrophage fate by Chi3l1 in metabolic dysfunction-associated steatotic liver disease.

eLife·2026
See all related articles

Related Experiment Video

Updated: Mar 31, 2026

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

Nonlinear circuits for naturalistic visual motion estimation.

James E Fitzgerald1, Damon A Clark2,3

  • 1Center for Brain Science, Harvard University, Cambridge, United States.

Elife
|October 27, 2015
PubMed
Summary
This summary is machine-generated.

Flies and humans perceive motion using complex correlations, not simple ones. This study shows how fly neural circuits can compute these higher-order correlations for accurate visual motion estimation.

Keywords:
D. melanogastercircuitsmotion perceptionnatural scenesneurosciencevision

More Related Videos

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
06:25

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Published on: February 23, 2024

1.3K
Author Spotlight: An Accurate and Quantitative Approach to Study Visual Feature Selectivity of the Optokinetic Reflex in Mice
09:28

Author Spotlight: An Accurate and Quantitative Approach to Study Visual Feature Selectivity of the Optokinetic Reflex in Mice

Published on: June 23, 2023

4.0K

Related Experiment Videos

Last Updated: Mar 31, 2026

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
Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
06:25

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Published on: February 23, 2024

1.3K
Author Spotlight: An Accurate and Quantitative Approach to Study Visual Feature Selectivity of the Optokinetic Reflex in Mice
09:28

Author Spotlight: An Accurate and Quantitative Approach to Study Visual Feature Selectivity of the Optokinetic Reflex in Mice

Published on: June 23, 2023

4.0K

Area of Science:

  • Neuroscience
  • Computational Biology
  • Animal Vision

Background:

  • Canonical models of motion perception rely on cross-correlation of visual signals.
  • Recent evidence suggests animals utilize higher-order correlations for motion detection, especially in natural environments.
  • Understanding the neural basis of these complex computations is crucial.

Purpose of the Study:

  • To elucidate how biologically plausible neural circuits can extract higher-order motion information.
  • To demonstrate how Drosophila's visual circuitry could implement these computations.
  • To predict fly behavior based on enhanced motion estimation models.

Main Methods:

  • Modeling neural circuit motifs for higher-order correlation extraction.
  • Analyzing Drosophila's visual circuitry for relevant processing features.
  • Simulating motion estimation with naturalistic visual inputs.

Main Results:

  • Neural processing motifs can be tuned to extract higher-order correlations.
  • Segregating visual signals into ON/OFF channels improves motion estimation accuracy by handling light/dark asymmetries.
  • Diverse inputs to motion-detecting neurons grant access to complex correlations.

Conclusions:

  • Non-canonical computations enhance motion estimation with naturalistic inputs.
  • The complexity of Drosophila's visual motion computation circuits is a valuable feature.
  • This work provides insights into efficient biological motion perception mechanisms.