Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Variability: Analysis

Variability: Analysis

Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...

Anatomical Movements

Anatomical Movements

Anatomical movements refer to the various actions or motions that can be performed by the body's joints and muscles. These movements are described using specific terms to provide a standardized way of discussing and understanding the range of motion at different joints.
Here are some common anatomical movements:
Flexion and extension motions are in the sagittal (anterior–posterior) plane of motion. These movements take place at the shoulder, hip, elbow, knee, wrist,...

Absolute Motion Analysis- General Plane Motion

Absolute Motion Analysis- General Plane Motion

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...

You might also read

Related Articles

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

Sort by

Same author

Human Steering Control Under Unpredictable Disturbances.

The European journal of neuroscience·2026

Same author

Movement Effort does not alter the Planning Horizon of Sequential Reaching Movements.

Journal of neurophysiology·2026

Same author

Gaze-centered spatial coding of touch on a hand-held tool.

Journal of neurophysiology·2026

Same author

Explaining attractive and repulsive biases in the subjective visual vertical.

PLoS computational biology·2026

Same author

Rapid modulation of choice behavior by ultrasound on the human frontal eye fields.

Nature communications·2026

Same author

Online interference of declarative memory on fast and slow adaptive processes in force field motor learning.

Journal of neurophysiology·2025

Same journal

Comprehensive Analysis of Auditory Nerve Fiber Responses using Fiber-Specific Modeling.

Journal of neurophysiology·2026

Same journal

HCN channels modulate the medium afterhyperpolarization and adjust the firing gain of fast alpha motoneurons in mice.

Journal of neurophysiology·2026

Same journal

Targeting intracranial electrical stimulation to network regions defined within individuals causes network-level effects.

Journal of neurophysiology·2026

Same journal

When "Noise" Isn't Simply Noise: Deterministic Postural Drive During Noisy Galvanic Vestibular Stimulation (nGVS).

Journal of neurophysiology·2026

Same journal

Abrupt Scene Onsets and Gradually Emerging Scene Information Produce Distinct EEG Decoding Dynamics.

Journal of neurophysiology·2026

Same journal

From discovery to translation: charting a course for the <i>Journal of Neurophysiology</i>.

Journal of neurophysiology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Nov 4, 2025

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

Movement preparation time determines movement variability.

Katrin Sutter¹, Leonie Oostwoud Wijdenes¹, Robert J van Beers^1,2

¹Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.

Journal of Neurophysiology

|May 26, 2021

Summary

This summary is machine-generated.

Faster movements are not always more variable. This study reveals that shorter reaction times (RT) lead to greater initial movement variability, suggesting a trade-off between movement initiation speed and precision.

Keywords:

movement preparation time movement variability planning noise reaction time speed-accuracy trade-off

More Related Videos

Movement Retraining using Real-time Feedback of Performance

Movement Retraining using Real-time Feedback of Performance

Published on: January 17, 2013

The Impact of Motor Task Conditions on Goal-Directed Arm Reaching Kinematics and Trunk Compensation in Chronic Stroke Survivors

The Impact of Motor Task Conditions on Goal-Directed Arm Reaching Kinematics and Trunk Compensation in Chronic Stroke Survivors

Published on: May 2, 2021

Related Experiment Videos

Last Updated: Nov 4, 2025

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

Movement Retraining using Real-time Feedback of Performance

Movement Retraining using Real-time Feedback of Performance

Published on: January 17, 2013

The Impact of Motor Task Conditions on Goal-Directed Arm Reaching Kinematics and Trunk Compensation in Chronic Stroke Survivors

The Impact of Motor Task Conditions on Goal-Directed Arm Reaching Kinematics and Trunk Compensation in Chronic Stroke Survivors

Published on: May 2, 2021

Area of Science:

Human motor control
Neuroscience
Biomechanics

Background:

Fitts' law describes the speed-accuracy trade-off during movement execution.
Previous research links neural variability during motor preparation to reaction time (RT) and movement variability.

Purpose of the Study:

To investigate the relationship between movement preparation time and initial movement variability.
To determine if faster movement initiation correlates with increased initial variability.

Main Methods:

Recorded over 30,000 reaching movements in 11 human participants.
Utilized auditory cues to elicit a wide range of reaction times (RT).
Analyzed kinematic data and endpoint accuracy in relation to RT.

Main Results:

Initial reach variability decreased as reaction time (RT) increased, up to approximately 300 ms.
No significant changes were observed in other kinematic aspects or endpoint accuracy.
Shorter voluntary reaction times were associated with higher initial movement variability.

Conclusions:

Movement preparation time is a key determinant of initial movement variability.
A trade-off exists between the speed of movement initiation and its initial precision.
Faster movement initiation comes at the cost of increased initial variability.