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

Fineness of Cement01:15

Fineness of Cement

516
The fineness of cement directly influences the rate of hydration, as the hydration begins at the surface of the cement particles. In addition to hydration, the fineness of cement is vital for various properties of concrete including workability, gypsum requirement, and long-term behavior. The fineness of cement is represented in terms of the specific surface of cement which is typically measured in square meters per kilogram, with several methods available for this determination.
Direct...
516
Fineness Modulus01:19

Fineness Modulus

1.5K
The fineness modulus (FM) of aggregate is a numerical index that measures the coarseness or fineness of the particles. It is calculated by adding the cumulative percentages of aggregate retained on each of a specified series of sieves and dividing the sum by 100.
Consider performing sieve analysis on sand through a set of ASTM sieves. The weight of aggregate retained in each sieve and pan placed at the bottom is recorded, as given in Column B of Table 1.
To determine the fineness modulus of...
1.5K
Space Trusses01:25

Space Trusses

1.3K
A space truss is a three-dimensional counterpart of a planar truss. These structures consist of members connected at their ends, often utilizing ball-and-socket joints to create a stable and versatile framework. The space truss is widely used in various construction projects due to its adaptability and capacity to withstand complex loads.
At the core of a space truss lies the fundamental unit known as the tetrahedron. This structure is composed of six members that form a three-dimensional shape...
1.3K
State Space Representation01:27

State Space Representation

574
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
574
Space Trusses: Problem Solving01:29

Space Trusses: Problem Solving

908
A space truss is a three-dimensional counterpart of a planar truss. These structures consist of members connected at their ends, often utilizing ball-and-socket joints to create a stable and versatile framework. Due to its adaptability and capacity to withstand complex loads, the space truss is widely used in various construction projects.
Consider a tripod consisting of a tetrahedral space truss with a ball-and-socket joint at C. Suppose the height and lengths of the horizontal and vertical...
908
Transfer Function to State Space01:23

Transfer Function to State Space

805
State-space representation is a powerful tool for simulating physical systems on digital computers, necessitating the conversion of the transfer function into state-space form. Consider an nth-order linear differential equation with constant coefficients, like those encountered in an RLC circuit. The state variables are selected as the output and its n−1 derivatives. Differentiating these variables and substituting them back into the original equation produces the state equations.
In an RLC...
805

You might also read

Related Articles

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

Sort by
Same author

Multiple Scales of Coordination along the Body Axis during <i>Drosophila</i> Larval Locomotion.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same author

Mouse sensorimotor cortex reflects complex kinematic details during reaching and grasping.

eLife·2026
Same author

Routing of task-relevant information in mouse PPC during continuous visuomotor control.

bioRxiv : the preprint server for biology·2026
Same author

Combatting nonidentifiability to infer motor cortex inputs yields similar encoding of initial and corrective movements.

bioRxiv : the preprint server for biology·2025
Same author

Multiple scales of coordination along the body axis during Drosophila larval locomotion.

bioRxiv : the preprint server for biology·2025
Same author

Reach-dependent reorientation of rotational dynamics in motor cortex.

Nature communications·2024

Related Experiment Video

Updated: Feb 2, 2026

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation
11:12

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation

Published on: July 16, 2014

23.1K

Adapting Fine with a Little Help from the Null Space.

Matthew T Kaufman1

  • 1Organismal Biology and Anatomy, University of Chicago, Chicago, IL 60637, USA.

Neuron
|November 23, 2018
PubMed
Summary

The brain learns new motor skills by adapting neural activity within specific dimensions. This targeted adaptation preserves communication between different motor areas, preventing disruption during learning.

Area of Science:

  • Neuroscience
  • Motor Control
  • Computational Neuroscience

Background:

  • Motor adaptation is crucial for learning new movements.
  • The brain must maintain coordination across multiple motor areas during adaptation.
  • Disruption of inter-area communication can impair motor function.

Purpose of the Study:

  • To investigate how neural adaptation occurs without disrupting inter-area communication.
  • To identify the specific neural dimensions involved in motor adaptation.
  • To understand the mechanisms underlying robust motor learning.

Main Methods:

  • Analysis of neural population activity during a motor adaptation task.
  • Dimensionality reduction techniques to identify subspaces of neural activity.

More Related Videos

In vitro Synthesis of Native, Fibrous Long Spacing and Segmental Long Spacing Collagen
07:54

In vitro Synthesis of Native, Fibrous Long Spacing and Segmental Long Spacing Collagen

Published on: September 20, 2012

14.2K
Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

9.6K

Related Experiment Videos

Last Updated: Feb 2, 2026

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation
11:12

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation

Published on: July 16, 2014

23.1K
In vitro Synthesis of Native, Fibrous Long Spacing and Segmental Long Spacing Collagen
07:54

In vitro Synthesis of Native, Fibrous Long Spacing and Segmental Long Spacing Collagen

Published on: September 20, 2012

14.2K
Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

9.6K
  • Investigating the relationship between adaptation in neural subspaces and inter-area communication.
  • Main Results:

    • Motor adaptation primarily occurs within a low-dimensional subspace of neural activity.
    • Adaptation within this subspace does not significantly impair communication between motor areas.
    • The brain can isolate motor learning to specific neural dimensions.

    Conclusions:

    • Motor adaptation can be achieved in a constrained set of neural dimensions.
    • This constrained adaptation mechanism protects essential inter-area communication pathways.
    • The findings provide insights into how the brain achieves flexible yet stable motor control.