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

Observational Learning01:12

Observational Learning

832
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
832
Hierarchy of Motor Control01:18

Hierarchy of Motor Control

5.9K
The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
5.9K
Principle of Moments: Problem Solving01:30

Principle of Moments: Problem Solving

1.2K
The principle of moments is a fundamental concept in physics and engineering. It refers to the balancing of forces and moments around a point or axis, also known as the pivot. This principle is used in many real-life scenarios, including construction, sports, and daily activities like opening doors and pushing objects.
One such scenario involves a pole placed in a three-dimensional system with a cable attached. When a tension is applied to the cable, the moment about the z-axis passing through...
1.2K
Principle of Angular Impulse and Momentum: Problem Solving01:19

Principle of Angular Impulse and Momentum: Problem Solving

473
Consider a ball of mass m, attached to a massless rod of known length, subjected to a time-dependent torque. If the initial velocity of the mass is known, then the final velocity of the mass for time t can be determined using the principle of angular impulse and momentum.
Initially, a free-body diagram of the system is drawn to illustrate all the forces acting upon the system, providing a crucial understanding of the dynamics at play. Then, the principle of angular impulse and momentum is...
473
Associative Learning01:27

Associative Learning

1.2K
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
1.2K
Modeling with Differential Equations01:25

Modeling with Differential Equations

5
Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...
5

You might also read

Related Articles

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

Sort by
Same author

A Reliable Prediction Method for the Pedicle Subtraction Osteotomy Angle in Ankylosing Spondylitis-Related Thoracolumbar Kyphosis: A Comparative Analysis with Existing Approaches.

Clinics in orthopedic surgery·2026
Same author

Computational models for the classification of antibody specificity using heavy chain features.

PloS one·2026
Same author

Tunneling Nanotube-Mediated Filamin A Transport Mechanosensitively Programs Osteoclastogenesis in Myeloma Bone Disease.

Blood·2026
Same author

Surgical algorithms for ankylosing spondylitis-related pseudarthrosis : adapting to radiological and clinical variations.

Bone & joint open·2026
Same author

Mosaic phenotypic evolution underlies the adaptive success of water-surface colonization in Gerromorpha.

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

Genomic signatures of rapid local selection and introgression drive adaptive phylogeography in the European river skater.

BMC biology·2026
Same journal

Dissociating variability from error-based processes in observational learning.

Human movement science·2026
Same journal

Associations between movement behaviors, sleep, and screen time exposure in middle childhood using multivariable modelling.

Human movement science·2026
Same journal

The interaction of biomechanical demands and the speed-accuracy trade-off for the control of multi-directional, three-dimensional targeted reaching movements.

Human movement science·2026
Same journal

Think positive, perform better: The detrimental effect of technical motor imagery before action.

Human movement science·2026
Same journal

Shoulder-elbow coordination in the transverse plane during badminton forehand drive depending on training status using vector coding analysis.

Human movement science·2026
Same journal

Delayed reaction time and altered spatial activation of Fibularis longus in chronic ankle instability: A high-density surface electromyography study.

Human movement science·2026
See all related articles

Related Experiment Video

Updated: Jan 15, 2026

Investigating Motor Skill Learning Processes with a Robotic Manipulandum
07:52

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

9.2K

Modeling motor learning in juggling: A Bayesian approach.

Mu Qiao1

  • 1Department of Kinesiology, Louisiana Tech University, Ruston, LA 71272, USA.

Human Movement Science
|October 9, 2025
PubMed
Summary
This summary is machine-generated.

Juggling practice improves catching accuracy by updating the brain

Keywords:
AccuracyExploratory studyLongitudinal studyProbabilistic modelSkill acquisition

More Related Videos

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior
09:49

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior

Published on: April 16, 2014

26.8K
A Fine Motor Task to Study Joint Kinematics in a Preclinical Model of Neurodegenerative Disease
05:39

A Fine Motor Task to Study Joint Kinematics in a Preclinical Model of Neurodegenerative Disease

Published on: June 13, 2025

786

Related Experiment Videos

Last Updated: Jan 15, 2026

Investigating Motor Skill Learning Processes with a Robotic Manipulandum
07:52

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

9.2K
Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior
09:49

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior

Published on: April 16, 2014

26.8K
A Fine Motor Task to Study Joint Kinematics in a Preclinical Model of Neurodegenerative Disease
05:39

A Fine Motor Task to Study Joint Kinematics in a Preclinical Model of Neurodegenerative Disease

Published on: June 13, 2025

786

Area of Science:

  • Cognitive Neuroscience
  • Motor Learning
  • Bayesian Modeling

Background:

  • The Bayesian brain hypothesis suggests internal models update parameters with experience.
  • Skill acquisition involves refining motor control through practice.

Purpose of the Study:

  • To investigate how practice enhances juggling catching accuracy (θ) using a probabilistic model.
  • To understand how practice changes the posterior distribution of catching probability.

Main Methods:

  • Recorded juggling performance of 192 students over 17 days.
  • Applied Bayesian analysis with a beta prior distribution (β(θ|1,3)).
  • Calculated posterior distribution, expectation (E[θ]), and variance (Var(θ)) daily.

Main Results:

  • Catching accuracy (E[θ]) improved from 0.43 to 0.86 over 17 days.
  • Variability in performance (Var(θ)) decreased from 0.029 to 0.001.
  • Estimated daily performance outcome probabilities using the posterior distribution.

Conclusions:

  • Motor learning involves shifting reliance from prior experience to current practice.
  • Learners gradually optimize catching probability (θ) rather than immediately adopting the maximum likelihood estimate.
  • The probabilistic model offers insights into skill acquisition and can apply to other motor skills.