Jove
Visualize
Contact Us

Related Concept Videos

Average and Instantaneous Velocity Vectors01:12

Average and Instantaneous Velocity Vectors

To calculate other physical quantities in kinematics, the time variable must be introduced. The time variable not only allows us to state where an object is (its position) during its motion, but also how fast it’s moving. The speed at which an object is moving is given by the rate at which the position changes with time. For each position, a particular time is assigned. If the details of the motion at each instant are not important, the rate is usually expressed as the average velocity v. This...
Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

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...
Instantaneous Velocity - I01:15

Instantaneous Velocity - I

The average velocity during a time interval cannot tell us how fast or in what direction a particle is moving at any given time during the interval. To calculate this, it is important to know the instantaneous velocity, which is the velocity at a specific instant of time or at a specific point along the path. Instantaneous velocity is the quantity that measures how fast an object is moving along its path. In other words, the instantaneous velocity vx of an object is the limit of the average...
Vision01:24

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
Neural Circuits01:25

Neural Circuits

Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
Instantaneous Velocity - II01:10

Instantaneous Velocity - II

Instantaneous velocity is the quantity that measures how fast an object is moving along its path. In other words, the instantaneous velocity of an object is the limit of the average velocity as the elapsed time approaches zero, or the derivative of displacement with respect to time. Like average velocity, the instantaneous velocity is a vector with the dimensions of length per unit time. Instantaneous velocity can have both positive and negative values. The instantaneous velocity can be...

You might also read

Related Articles

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

Sort by
Same author

Comparative Analysis of Patients with Robotic Hiatal Hernia Repairs with and without Collis Gastroplasty.

The American surgeon·2021
Same author

Visual-vestibular estimation of the body's curvilinear motion through the world: A computational model.

Journal of vision·2018
Same author

The Effect of Differences in Day and Night Lighting Distributions on Drivers' Speed Perception.

Perception·2016
Same author

Fixating on the size-speed illusion of approaching railway trains: What we can learn from our eye movements.

Accident; analysis and prevention·2016
Same author

The role of eye movements in the size-speed illusion of approaching trains.

Accident; analysis and prevention·2015
Same author

Redundancy reduction explains the expansion of visual direction space around the cardinal axes.

Vision research·2015
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 Video

Updated: May 19, 2026

Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro
08:00

Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro

Published on: December 3, 2018

A neural-based code for computing image velocity from small sets of middle temporal (MT/V5) neuron inputs.

John A Perrone1

  • 1School of Psychology, The University of Waikato, Hamilton, New Zealand. jpnz@waikato.ac.nz

Journal of Vision
|August 3, 2012
PubMed
Summary

This study presents a novel model for how primate brains estimate visual stimulus velocity. Using a weighted vector average technique with Middle Temporal (MT) neurons, the model accurately calculates speed, mimicking Medial Superior Temporal (MST) neuron responses.

Related Experiment Videos

Last Updated: May 19, 2026

Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro
08:00

Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro

Published on: December 3, 2018

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Visual Perception

Background:

  • The primate visual system's mechanism for measuring stimulus velocity remains unclear.
  • Medial Superior Temporal (MST) neurons show speed-proportional responses, but their derivation from Middle Temporal (MT) neurons is not fully understood.

Purpose of the Study:

  • To propose a computational model explaining velocity measurement in the primate visual system.
  • To investigate how MT neuron properties influence velocity estimation accuracy.
  • To elucidate the neural computations underlying visual speed perception.

Main Methods:

  • A computational model using a weighted vector average (centroid) technique with simulated MT neuron outputs.
  • Implementation of velocity channels with inhibitory interactions to refine estimates.
  • Inclusion of a contrast-dependent redundancy-removal stage for adaptive spatial resolution.

Main Results:

  • A population code based on broad-tuned MT neurons was found to be error-prone.
  • The proposed centroid technique using three MT units within a velocity channel accurately estimates velocity.
  • The model demonstrates contrast-dependent spatial resolution, enhancing accuracy at high and low contrasts.

Conclusions:

  • The model successfully replicates MST neuron velocity-tuning properties.
  • The proposed mechanism provides a plausible explanation for velocity measurement in the primate visual cortex.
  • The model's input stages align with known properties of neurons in areas V1 and MT.