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

Field Procedure for Staking Out Curves01:26

Field Procedure for Staking Out Curves

Staking out curves is an essential process in construction to ensure the accurate alignment of structures along a curved path. This task involves positioning stakes at calculated locations corresponding to the curve's design, effectively translating plans into physical markers in the field. The process begins by determining the geometric parameters of the curve, including the radius, central angle, and tangent distances. These parameters are critical for identifying key points such as the Point...
Gain01:15

Gain

Gain and phase shift are properties of linear circuits that describe the effect a circuit has on a sinusoidal input voltage or current. The circuit's behavior that contains reactive elements will depend on the frequency of the input sinusoid. As a result, it is observed that the gain and phase shift will all be frequency functions.
Gain:
Suppose Vin is the input and Vout is the output signal to a circuit.
Sampling Plans01:23

Sampling Plans

Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
Lagrange Multipliers: One Constraint01:29

Lagrange Multipliers: One Constraint

In constrained optimization, the objective is to maximize or minimize a quantity while satisfying a fixed condition. A standard example is a rectangular pen built against a barn wall using 100 meters of fencing. Because the wall provides one side of the enclosure, only the other three sides require fencing. The problem is to find the dimensions that produce the greatest possible area.Let L represent the length parallel to the wall and W the width perpendicular to it. The area of the pen is A =...
Base Quantities and Derived Quantities01:14

Base Quantities and Derived Quantities

In any system of units, the units for some physical quantities must be specified through a measurement process. These measurements are the base quantities of the system, and their units are the base units of the system. The algebraic combinations of the base values can then be used to express all other physical quantities. Each of these physical quantities is then referred to as a derived quantity, with each unit being referred to as a derived unit.
The International Organization for...

You might also read

Related Articles

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

Sort by
Same author

Causal Dynamics of Social Gaze in Primate Prefrontal-Amygdala Networks Revealed by Dynamic Bayesian Modeling.

Nature communications·2026
Same author

Planning, Coordination, and Communication: The Posterior Parietal Cortex in Eye-Hand Control.

Annual review of vision science·2026
Same author

Compositionality of social gaze in the prefrontal-amygdala circuits.

Nature communications·2026
Same author

Canonical decision computations underlie behavioral and neural signatures of cooperation in primates.

Neuron·2026
Same author

A causal role for the posterior corpus callosum in bimanual coordination.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Dynamic modulation of social gaze by sex and familiarity in marmoset dyads.

eLife·2026

Related Experiment Video

Updated: Jun 17, 2026

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
09:01

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

Using a compound gain field to compute a reach plan.

Steve W C Chang1, Charalampos Papadimitriou, Lawrence H Snyder

  • 1Department of Anatomy and Neurobiology, Washington University in St. Louis School of Medicine, St. Louis, MO 63110, USA. steve@eye-hand.wustl.edu

Neuron
|December 17, 2009
PubMed
Summary
This summary is machine-generated.

Researchers found that eye and hand gain fields in the parietal reach region (PRR) are oppositely signed. This arrangement scales visual responses based on gaze-to-hand distance, supporting PRR

More Related Videos

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

Related Experiment Videos

Last Updated: Jun 17, 2026

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques
09:01

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Motor Control

Background:

  • Gain fields, which scale neuronal responses by postural signals, are hypothesized to aid neuronal computation.
  • The parietal reach region (PRR) is implicated in visually guided reaching.
  • Understanding the precise role of gain fields in PRR is crucial for deciphering neural computation during movement.

Purpose of the Study:

  • To characterize the properties of eye and hand position gain fields within individual neurons of the PRR.
  • To investigate how these gain fields interact to influence neuronal responses during reaching tasks.
  • To determine the computational implications of observed gain field arrangements in PRR.

Main Methods:

  • Neuronal recordings were performed in the PRR of subjects.
  • The responses of individual neurons were analyzed in relation to eye position, hand position, and visual target location.
  • Gain field magnitudes and signs were systematically quantified for both eye and hand position signals.

Main Results:

  • Individual PRR neurons exhibited eye and hand gain fields of similar magnitude but opposite sign.
  • A compound gain field was observed, proportional to the distance between gaze and initial hand position.
  • Visual responses to targets were scaled by this gaze-to-hand distance, consistent with a neural network mediating eye- and hand-centered representations.

Conclusions:

  • The systematic arrangement of opposing eye and hand gain fields in PRR supports its role in visually guided reaching.
  • This finding provides strong evidence for the use of gain fields in performing neural computations.
  • The observed scaling mechanism suggests a neural computation that integrates visual information with motor-related signals based on spatial relationships.