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

Mechanism of Ciliary Motion01:05

Mechanism of Ciliary Motion

5.2K
The ciliary structures were first seen in 1647 by Antonie Leeuwenhoek while observing the protozoans. In lower organisms, these appendages are responsible for cell movement, while in higher organisms, these appendages help in the movement of the extracellular fluids within the body cavities.
The cilia are made up of microtubules in a 9+2 arrangement, with nine microtubule doublet ring bundles, surrounding a pair of central singlet microtubule bundles. The doublet microtubule bundles are...
5.2K
Reaction Mechanisms03:06

Reaction Mechanisms

31.0K
Chemical reactions often occur in a stepwise fashion, involving two or more distinct reactions taking place in a sequence. A balanced equation indicates the reacting species and the product species, but it reveals no details about how the reaction occurs at the molecular level. The reaction mechanism (or reaction path) provides details regarding the precise, step-by-step process by which a reaction occurs.
For instance, the decomposition of ozone appears to follow a mechanism with two steps:
31.0K
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

425
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
425
Equation of Motion: General Plane motion01:22

Equation of Motion: General Plane motion

585
In the context of a rigid body's movement within a general plane, it is important to understand that this motion is typically triggered by external forces or couple moments exerted onto it. This principle can be explained through Newton's second law, which stipulates the translational motion of the body's center of mass along each axis.
Moreover, the body's center of mass experiences a rotational effect as a result of these couple moments. This rotation can be articulated as the...
585
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

578
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...
578
Equation of Motion: General Plane motion - Problem Solving01:16

Equation of Motion: General Plane motion - Problem Solving

512
Consider a lawn roller with a mass of 100 kg, a radius of 0.2 meters, and a radius of gyration of 0.15 meters. A force of 200 N is applied to this roller, angled at 60 degrees from the horizontal plane. What will be the angular acceleration of the lawn roller?
The friction between the roller and the ground is characterized by two coefficients. The static friction coefficient is 0.15, while the kinetic friction coefficient is 0.1. These values are crucial in understanding the interaction between...
512

You might also read

Related Articles

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

Sort by
Same author

Uncovering Sex Differences in the Drosophila Ventral Nerve Cord Through Connectome Alignment.

bioRxiv : the preprint server for biology·2026
Same author

Distributed control circuits across a brain-and-cord connectome.

Nature·2026
Same author

Causal and directional elements of global brain dynamics.

bioRxiv : the preprint server for biology·2026
Same author

Intrinsic space-time couplings governing multi-scale cortical dynamics.

bioRxiv : the preprint server for biology·2026
Same author

Inhibitory columnar feedback neurons are involved in motion processing in <i>Drosophila</i>.

eLife·2026
Same author

Improving positively tuned voltage indicators for faster kinetics and higher contrast.

bioRxiv : the preprint server for biology·2026

Related Experiment Video

Updated: Feb 8, 2026

Two Algorithms for High-throughput and Multi-parametric Quantification of Drosophila Neuromuscular Junction Morphology
12:29

Two Algorithms for High-throughput and Multi-parametric Quantification of Drosophila Neuromuscular Junction Morphology

Published on: May 3, 2017

11.1K

Elementary Motion Detection in Drosophila: Algorithms and Mechanisms.

Helen H Yang1,2, Thomas R Clandinin1

  • 1Department of Neurobiology, Stanford University, Stanford, California 94305, USA;

Annual Review of Vision Science
|June 28, 2018
PubMed
Summary

Visual motion detection guides animal behavior and involves complex neural computations. This review explores how motion signals are computed in the Drosophila visual system, leveraging recent technological advancements.

Keywords:
DrosophilaT4T5direction selectivitymotion detection

More Related Videos

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm
06:53

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm

Published on: July 23, 2020

6.1K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.5K

Related Experiment Videos

Last Updated: Feb 8, 2026

Two Algorithms for High-throughput and Multi-parametric Quantification of Drosophila Neuromuscular Junction Morphology
12:29

Two Algorithms for High-throughput and Multi-parametric Quantification of Drosophila Neuromuscular Junction Morphology

Published on: May 3, 2017

11.1K
Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm
06:53

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm

Published on: July 23, 2020

6.1K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.5K

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Animal Behavior

Background:

  • Visual motion is crucial for animal navigation and survival.
  • Motion estimation involves complex neural computations comparing visual inputs over time.
  • The Drosophila visual system offers a powerful model for studying neural computation due to recent technological advances.

Purpose of the Study:

  • To review the current understanding of motion signal computation in the Drosophila visual system.
  • To explore the algorithmic and mechanistic principles underlying early motion detection.
  • To highlight the impact of technological progress on visual neuroscience research.

Main Methods:

  • Review of existing literature on visual motion processing in Drosophila.
  • Analysis of computational models of motion detection.
  • Integration of findings from recent experimental studies in Drosophila.

Main Results:

  • The Drosophila visual system employs specific neural circuits for motion computation.
  • Algorithmic strategies for motion detection are being elucidated.
  • Mechanistic details of how neurons process motion signals are emerging.

Conclusions:

  • Significant progress has been made in understanding neural motion computation in Drosophila.
  • The Drosophila system serves as a key model for generalizable principles of neural computation.
  • Future research will continue to benefit from technological innovation in this field.